{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"cf60fbe16c71","filters":{"venue":"Big Data In Agriculture"}},"results":[{"id":"W3088961364","doi":"10.26480/bda.01.2020.17.19","title":"ESTIMATION OF HIGH-RESOLUTION RAINFALL USING MICROWAVE LINKS DATA OF CELLULAR SYSTEM","year":2020,"lang":"en","type":"article","venue":"Big Data In Agriculture","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Athabasca University","funders":"","keywords":"Microwave; Computer science; Remote sensing; High resolution; Resolution (logic); Estimation; Data mining; Artificial intelligence; Telecommunications; Geology; Systems engineering; Engineering","authors":[{"name":"Muhammad Mohsin Waqas","is_ca":false},{"name":"Muhammad Awais","is_ca":false},{"name":"Syed Hamid Hussain Shah","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1239316668385377,"gpt":0.2432114158132392,"spread":0.1192797489747016,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002146903,0.00029084,0.0001838505,0.001145601,0.0001447682,0.0004502394,0.0002243537,0.0002181979,0.001271894],"category_scores_gemma":[0.0007671579,0.0001145216,0.0002193316,0.001417343,0.00007214639,0.0003466992,0.0001868273,0.0002065457,0.0005699198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980554,"about_ca_system_score_gemma":0.0001437447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005049449,"about_ca_topic_score_gemma":0.005286911,"domain_scores_codex":[0.9997898,0.00003545912,0.00001681113,0.00004898374,0.00007041775,0.00003852342],"domain_scores_gemma":[0.9996387,0.00007533487,0.00006526713,0.00004914622,0.0001515122,0.00002003314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004559297,0.0002099484,0.6637257,0.0003815516,0.0003015186,0.0007384518,0.0004672599,0.0966088,0.06765127,0.0007645823,0.004538002,0.1641569],"study_design_scores_gemma":[0.00003049859,0.0001844199,0.7849479,0.00003352162,0.0001104616,0.0002808243,0.0004424118,0.1899629,0.01941657,0.0003574211,0.004189355,0.00004373845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755839,0.0001244662,0.01652162,0.00004919311,0.00002648685,0.00004799562,0.003784817,0.0006180343,0.003243473],"genre_scores_gemma":[0.9889837,0.00007446489,0.006944006,0.00001053349,0.00001435341,0.00002748375,0.003028315,0.00002466524,0.0008924388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005049449,"threshold_uncertainty_score":0.0100401,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390767479","doi":"10.26480/bda.01.2023.36.42","title":"ASSESSING THE OPTIMAL LEVEL OF NPK FERTILIZERS FOR ENHANCING PRODUCTION OF SPRING RICE IN KANCHANPUR, NEPAL","year":2023,"lang":"en","type":"article","venue":"Big Data In Agriculture","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Panicle; Randomized block design; Straw; Mathematics; Animal science; Field experiment; Grain yield; Yield (engineering); Agronomy; Biology; Statistics","authors":[{"name":"T.B. Manni","is_ca":true},{"name":"Rajmohan Sharma","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2959672020740128,"gpt":0.3383742576926901,"spread":0.04240705561867736,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002399537,0.000178237,0.0002859421,0.0002682644,0.0003441497,0.0004025896,0.0005306919,0.0002630451,0.0004561774],"category_scores_gemma":[0.0002480285,0.0001663846,0.0001788026,0.000311877,0.0002467226,0.000354411,0.0002572592,0.0003662696,0.0000962822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004150706,"about_ca_system_score_gemma":0.0007289157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003648732,"about_ca_topic_score_gemma":0.01217182,"domain_scores_codex":[0.9998398,0.00004062751,0.00001755884,0.00003920322,0.00003488543,0.00002788297],"domain_scores_gemma":[0.9997737,0.00006761432,0.00006856948,0.00001021034,0.00003590541,0.00004409379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008975632,0.0006630712,0.04373367,0.0005515364,0.00005737311,0.0008925595,0.0006995815,0.00122082,0.9351059,0.0001908645,0.0001820579,0.01580492],"study_design_scores_gemma":[0.0001568274,0.01155293,0.7870428,0.0001077051,0.0002116032,0.0009068673,0.003869617,0.005401628,0.1843675,0.00054869,0.00575811,0.00007572192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991424,0.0001081564,0.0002355634,0.00002608219,0.000001755338,0.00001572025,0.00006150056,0.000005123568,0.0004036178],"genre_scores_gemma":[0.9970803,0.0002153198,0.001989645,0.00004986435,0.00000162368,0.00006290796,0.0001281033,0.000003601298,0.0004684974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003648732,"threshold_uncertainty_score":0.007254958,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3088733319","doi":"10.26480/bda.01.2020.10.12","title":"IMPACT OF CLIMATE CHANGE ON RAINFALL IN THE IRRIGATED INDUS BASIN: A CASE STUDY IN THE LOWER CHENAB CANAL SYSTEM","year":2020,"lang":"en","type":"article","venue":"Big Data In Agriculture","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Athabasca University","funders":"","keywords":"Indus; Climate change; Environmental science; Hydrology (agriculture); Structural basin; Irrigation; Water resource management; Geology; Geomorphology; Oceanography; Geotechnical engineering","authors":[{"name":"Muhammad Mohsin Waqas","is_ca":false},{"name":"Yasir Niaz","is_ca":false},{"name":"Haroon Rashid","is_ca":false},{"name":"Muhammad Adnan Bodlah","is_ca":false},{"name":"Sikandar Ali","is_ca":false},{"name":"Hassan Raza","is_ca":false},{"name":"Muhammad Fahad","is_ca":false},{"name":"Ishfaq Ahmad","is_ca":false},{"name":"Syed Hamid Hussain Shah","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.139549018577691,"gpt":0.2983631656200398,"spread":0.1588141470423488,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001823645,0.0002052831,0.000200073,0.0005428189,0.0006498249,0.0006831634,0.000517233,0.0005507552,0.001146096],"category_scores_gemma":[0.0004551029,0.0001346147,0.0003467086,0.001464816,0.0005664857,0.0003435664,0.0005361272,0.0003846122,0.00007611707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120768,"about_ca_system_score_gemma":0.0009438751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1587953,"about_ca_topic_score_gemma":0.1966149,"domain_scores_codex":[0.9998375,0.00004316456,0.000009226753,0.00002390961,0.00002806019,0.00005820292],"domain_scores_gemma":[0.9997067,0.00009532864,0.00005459211,0.00001722984,0.00006112418,0.00006499224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005411829,0.0006087176,0.8377947,0.0002622113,0.0002253532,0.02952516,0.003154173,0.08968954,0.01145269,0.002438165,0.00329188,0.02101618],"study_design_scores_gemma":[0.00004247075,0.0002267671,0.9183891,0.00003170646,0.00008280874,0.001063849,0.006765376,0.0687029,0.001862338,0.0004627947,0.002316382,0.00005345688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989004,0.00004494215,0.00005627882,0.0001042521,0.000002441425,0.000008938704,0.0001640556,0.000007521109,0.000711116],"genre_scores_gemma":[0.99936,0.00006959505,0.00008832635,0.00001300614,0.000003502636,0.000006888024,0.0001193714,0.000002131919,0.0003372706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1587953,"threshold_uncertainty_score":0.315742,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}