{"meta":{"query_hash":"1e671f5f7434","filters":{"venue":"Indian Journal of Economics and Development"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/1e671f5f7434","api":"https://metacan.xera.ac/api/v1/cohort?venue=Indian+Journal+of+Economics+and+Development"},"results":[{"id":"W2444176347","doi":"10.5958/2322-0430.2016.00145.1","title":"Human Trafficking: A Case of Deceived Aspiring Emigrants in Punjab","year":2016,"lang":"en","type":"article","venue":"Indian Journal of Economics and Development","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Emigration; Human trafficking; Engineering; Biology; Criminology; Political science; Law; Sociology","score_opus":0.03917388908270137,"score_gpt":0.2815886951290628,"score_spread":0.24241480604636145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2444176347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982939,0.00016590692,0.000007443948,0.00033452298,0.000104244486,0.000051458046,0.0000012601304,0.0000014790177,0.0010398098],"genre_scores_gemma":[0.999258,0.00024268498,0.00036589833,0.00003604273,0.000054510714,0.000001103486,4.488608e-8,0.0000041641115,0.000037582322],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992277,0.000024537743,0.0004569291,0.00007874359,0.000040010105,0.0001720546],"domain_scores_gemma":[0.9994639,0.00004676356,0.00028597552,0.000037884998,0.000047388392,0.00011809164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061622926,0.00006334103,0.00019809988,0.00014297591,0.00015243982,0.000023667493,0.000087954904,0.000040621642,0.000021554715],"category_scores_gemma":[0.00003847226,0.00004900421,0.000032122745,0.000043204775,0.000086613436,0.00009180186,0.000020891992,0.000046744,0.0000015448292],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005951062,0.00008478277,0.11854795,0.000019280144,0.0001708572,0.001533285,0.31953362,0.000019159066,0.000073578565,0.0034668848,0.0000648789,0.5564262],"study_design_scores_gemma":[0.011522916,0.0004945789,0.51883006,0.0013739191,0.000044453573,0.0016675229,0.2821594,0.000007312997,0.0020346988,0.0028423571,0.17778456,0.001238241],"about_ca_topic_score_codex":0.00009718837,"about_ca_topic_score_gemma":0.004697446,"teacher_disagreement_score":0.555188,"about_ca_system_score_codex":0.000093747156,"about_ca_system_score_gemma":0.00026034238,"threshold_uncertainty_score":0.2621285},"labels":[],"label_agreement":null},{"id":"W3008034199","doi":"10.35716/tsoed-2020/19071","title":"Canadian Regional Agriculture Model: Positive Mathematical Programming Applied to the Beef Sector in Canada","year":2020,"lang":"en","type":"article","venue":"Indian Journal of Economics and Development","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Agriculture; Shadow price; Livestock; Beef cattle; Flexibility (engineering); Production (economics); Agricultural science; Linear programming; Agricultural economics; Mathematics; Herd; Economics; Agricultural engineering; Econometrics; Statistics; Mathematical optimization; Environmental science; Animal science; Engineering; Biology; Ecology","score_opus":0.0196644773188055,"score_gpt":0.1707081379307953,"score_spread":0.15104366061198982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008034199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96443045,0.0000355078,0.000002087998,0.03509654,0.000027901071,0.00015633352,0.000025374426,0.0000011446477,0.00022466874],"genre_scores_gemma":[0.9940667,0.000035486042,0.00073747686,0.0049527274,0.00017865245,0.0000057188035,0.00001060528,9.3246604e-7,0.00001171527],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992538,0.000008999211,0.00034038073,0.00012154856,0.000042479816,0.00023279774],"domain_scores_gemma":[0.9992901,0.000039318158,0.00012762612,0.000015371024,0.000031631458,0.0004959301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011618035,0.00010828347,0.0001849931,0.0000135552245,0.000115597715,0.000073101386,0.0001927942,0.000039462284,0.000028288126],"category_scores_gemma":[0.000007190949,0.000038367973,0.000027558362,0.000079755744,0.000009649682,0.00004892958,0.000033165325,0.0001340604,0.000006201854],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039795798,0.00017523399,0.023228547,0.000073567884,0.00060737075,0.0003630723,0.06762384,0.06886674,0.002316421,0.030313792,0.045469895,0.76056355],"study_design_scores_gemma":[0.0009364262,0.00036866855,0.2909119,0.00012948828,0.000023877054,0.0004971339,0.019956332,0.0022712462,0.0007361045,0.0018868954,0.68086886,0.0014130246],"about_ca_topic_score_codex":0.30814874,"about_ca_topic_score_gemma":0.9862558,"teacher_disagreement_score":0.75915056,"about_ca_system_score_codex":0.00048959133,"about_ca_system_score_gemma":0.0007893297,"threshold_uncertainty_score":0.69645834},"labels":[],"label_agreement":null},{"id":"W3192932580","doi":"10.35716/ijed/20276","title":"Exploring the Economic Slowdown of India","year":2020,"lang":"en","type":"article","venue":"Indian Journal of Economics and Development","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Agriculture; Falling (accident); Coronavirus disease 2019 (COVID-19); Investment (military); Manufacturing sector; Agricultural economics; Pandemic; Consumption (sociology); Unemployment; Economic slowdown; Economics; Geography; Economic growth; Labour economics; Economy; Medicine; Political science","score_opus":0.12538825515563765,"score_gpt":0.23048578252182872,"score_spread":0.10509752736619107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192932580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99581677,0.00065239903,0.00014866992,0.002065711,0.0004802501,0.00009424382,0.000026403282,0.0000033595484,0.00071221206],"genre_scores_gemma":[0.9961685,0.0016008528,0.0009462804,0.0010552373,0.00019438403,0.0000036528004,0.0000012823076,0.000017771314,0.000012038928],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983566,0.000010670726,0.0012207881,0.00018031485,0.000018609053,0.00021303576],"domain_scores_gemma":[0.99844295,0.000113943526,0.0010685867,0.000130104,0.00001909124,0.00022533025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007589202,0.0001415134,0.00047358265,0.00021531832,0.00007901496,0.00006586447,0.00031735143,0.000045143024,0.000113611975],"category_scores_gemma":[0.0000990463,0.00013107486,0.00008992839,0.00006387939,0.00006339149,0.00039151873,0.00009190585,0.0001887758,0.000069752714],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005379873,0.00015547506,0.5404997,0.0004346345,0.0022463691,0.00013549867,0.15183325,0.01576647,0.000092694514,0.14186598,0.0036922526,0.14273968],"study_design_scores_gemma":[0.0038578971,0.00050082395,0.36133623,0.00011223137,0.000025377454,0.0001719292,0.0022849597,0.0013061061,0.0026979037,0.010378279,0.61636674,0.0009615348],"about_ca_topic_score_codex":0.000025821897,"about_ca_topic_score_gemma":0.00001064858,"teacher_disagreement_score":0.6126745,"about_ca_system_score_codex":0.00024651914,"about_ca_system_score_gemma":0.00039676085,"threshold_uncertainty_score":0.5345078},"labels":[],"label_agreement":null},{"id":"W4239081195","doi":"10.35716/ijed/19071","title":"Canadian Regional Agriculture Model: PMP Applied to the Beef Sector in Canada","year":2020,"lang":"en","type":"article","venue":"Indian Journal of Economics and Development","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Shadow price; Livestock; Flexibility (engineering); Beef cattle; Production (economics); Agricultural science; Agricultural economics; Herd; Linear programming; Mathematics; Economics; Agricultural engineering; Econometrics; Environmental science; Statistics; Animal science; Mathematical optimization; Engineering; Biology; Ecology","score_opus":0.021615070199420827,"score_gpt":0.1593775372439865,"score_spread":0.13776246704456568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239081195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9520285,0.00006057936,4.339593e-7,0.047452826,0.00005632427,0.00010107948,0.00003153456,0.0000010057208,0.00026771182],"genre_scores_gemma":[0.9892232,0.00011132752,0.00017755886,0.010197136,0.00025649613,0.0000035149756,0.0000105075505,8.352415e-7,0.000019445743],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992654,0.00000821621,0.00033566135,0.00012563028,0.000039099596,0.00022600382],"domain_scores_gemma":[0.9992619,0.00002774772,0.00013270187,0.00001747221,0.00002862262,0.00053152256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106617284,0.000108331595,0.0001756344,0.000014860437,0.00011677373,0.00006041323,0.00023658627,0.00004014249,0.00004184621],"category_scores_gemma":[0.0000053397425,0.000038162165,0.000026432977,0.00008540013,0.000007520657,0.000050676255,0.00003322741,0.00013366833,0.000007290869],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041564295,0.00010120779,0.058105882,0.00004608062,0.0005003942,0.0002856967,0.04215124,0.18861714,0.004879273,0.014930289,0.25671512,0.43325204],"study_design_scores_gemma":[0.00029741757,0.00007633323,0.18170479,0.000017456063,0.000004525735,0.00008442315,0.0033796371,0.00041698068,0.00022437442,0.00028804044,0.8130958,0.00041018607],"about_ca_topic_score_codex":0.5792331,"about_ca_topic_score_gemma":0.99699265,"teacher_disagreement_score":0.55638075,"about_ca_system_score_codex":0.00046968527,"about_ca_system_score_gemma":0.00096460123,"threshold_uncertainty_score":0.4235688},"labels":[],"label_agreement":null},{"id":"W4285701965","doi":"10.35716/tsoed-2020/16.19071","title":"Canadian Regional Agriculture Model: Positive Mathematical Programming Applied to the Beef Sector in Canada","year":2020,"lang":"en","type":"article","venue":"Indian Journal of Economics and Development","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Shadow price; Livestock; Flexibility (engineering); Beef cattle; Production (economics); Agricultural science; Linear programming; Agricultural economics; Herd; Mathematics; Economics; Agricultural engineering; Econometrics; Statistics; Environmental science; Mathematical optimization; Animal science; Engineering; Ecology; Biology","score_opus":0.0196644773188055,"score_gpt":0.1707081379307953,"score_spread":0.15104366061198982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285701965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96443045,0.0000355078,0.000002087998,0.03509654,0.000027901071,0.00015633352,0.000025374426,0.0000011446477,0.00022466874],"genre_scores_gemma":[0.9940667,0.000035486042,0.00073747686,0.0049527274,0.00017865245,0.0000057188035,0.00001060528,9.3246604e-7,0.00001171527],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992538,0.000008999211,0.00034038073,0.00012154856,0.000042479816,0.00023279774],"domain_scores_gemma":[0.9992901,0.000039318158,0.00012762612,0.000015371024,0.000031631458,0.0004959301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011618035,0.00010828347,0.0001849931,0.0000135552245,0.000115597715,0.000073101386,0.0001927942,0.000039462284,0.000028288126],"category_scores_gemma":[0.000007190949,0.000038367973,0.000027558362,0.000079755744,0.000009649682,0.00004892958,0.000033165325,0.0001340604,0.000006201854],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039795798,0.00017523399,0.023228547,0.000073567884,0.00060737075,0.0003630723,0.06762384,0.06886674,0.002316421,0.030313792,0.045469895,0.76056355],"study_design_scores_gemma":[0.0009364262,0.00036866855,0.2909119,0.00012948828,0.000023877054,0.0004971339,0.019956332,0.0022712462,0.0007361045,0.0018868954,0.68086886,0.0014130246],"about_ca_topic_score_codex":0.30814874,"about_ca_topic_score_gemma":0.9862558,"teacher_disagreement_score":0.75915056,"about_ca_system_score_codex":0.00048959133,"about_ca_system_score_gemma":0.0007893297,"threshold_uncertainty_score":0.69645834},"labels":[],"label_agreement":null},{"id":"W4410995307","doi":"10.35716/ijed-24305","title":"Feminization of Migration from Rural Punjab: Extent, Factors and Consequences","year":2025,"lang":"en","type":"article","venue":"Indian Journal of Economics and Development","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feminization (sociology); Agriculture; Biology; Social science; Sociology; Biotechnology; Economic geography; Geography; Ecology","score_opus":0.02182424769410364,"score_gpt":0.25464167706955704,"score_spread":0.2328174293754534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410995307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997279,0.0006864721,0.000043805205,0.00083899614,0.0002204089,0.000044090262,0.0000042276884,0.0000012700493,0.00088171626],"genre_scores_gemma":[0.9973423,0.0019733396,0.0005406955,0.00006384144,0.00003008125,5.6071974e-7,0.0000015716679,0.0000014205043,0.000046208548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953383,0.00001827163,0.00028890753,0.00005223105,0.00003439559,0.000072332776],"domain_scores_gemma":[0.99956506,0.00006595833,0.00023036137,0.000022211952,0.00006080983,0.00005561573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018741743,0.00004978926,0.00013821242,0.00007647887,0.00015692163,0.000050755378,0.000050829643,0.000034957407,0.000011846305],"category_scores_gemma":[0.000043652093,0.000042556367,0.00001633453,0.000040054554,0.00012905258,0.000088923734,0.000015664118,0.000032632153,3.110078e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023092947,0.000014960121,0.83482665,0.000008679623,0.00014828658,0.0000030156223,0.11333731,0.0000063880084,0.0000316731,0.0065236227,0.00010670535,0.044969637],"study_design_scores_gemma":[0.00069410476,0.000054716253,0.7202544,0.00015353304,0.000028926896,0.0000029350251,0.21279973,0.000008043073,0.0015866648,0.004964015,0.05927722,0.00017568612],"about_ca_topic_score_codex":0.00027838242,"about_ca_topic_score_gemma":0.0010642451,"teacher_disagreement_score":0.11457221,"about_ca_system_score_codex":0.00003669475,"about_ca_system_score_gemma":0.0003203861,"threshold_uncertainty_score":0.17353983},"labels":[],"label_agreement":null}]}