{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"32b768b824c8","filters":{"venue":"Journal of Hill Agriculture"}},"results":[{"id":"W2604840466","doi":"10.5958/2230-7338.2017.00011.8","title":"Genetic divergence in tomato under alluvial zone of West Bengal","year":2017,"lang":"en","type":"article","venue":"Journal of Hill Agriculture","topic":"Agricultural Practices and Plant Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Extendicare (Canada)","funders":"","keywords":"West bengal; Alluvium; Genetic divergence; BENGAL; Veterinary medicine; Divergence (linguistics); Biology; Geography; Medicine; Archaeology; Genetic diversity; Paleontology; Socioeconomics; Sociology; Environmental health","authors":[{"name":"Bimal Das","is_ca":true},{"name":"Subhamoy Sikder","is_ca":false},{"name":"Ashim Debnath","is_ca":true},{"name":"Rakesh Yonzone","is_ca":false},{"name":"Surajit Kundu","is_ca":true},{"name":"Aprajita Das","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01861819950823641,"gpt":0.2250065452909175,"spread":0.2063883457826811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003064115,0.0001738454,0.0003351154,0.00001456861,0.0002988371,0.0001351523,0.000719853,0.000173167,0.0002644068],"category_scores_gemma":[0.0001078009,0.00005078603,0.0001818299,0.0001379261,0.00007692126,0.0003588449,0.0001223704,0.000346497,0.00001390919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002366505,"about_ca_system_score_gemma":0.00001403823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004409206,"about_ca_topic_score_gemma":0.003702654,"domain_scores_codex":[0.9985877,0.0001059587,0.0005649988,0.0001590057,0.0003484018,0.0002339864],"domain_scores_gemma":[0.9981971,0.0001510055,0.001180853,0.00007813761,0.0002553092,0.0001376207],"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":[0.0001483965,0.0003755035,0.1444993,0.00002293695,0.00007634588,0.0001662386,0.0003491548,0.0009549889,0.8251408,0.0001565633,0.01109376,0.0170161],"study_design_scores_gemma":[0.0002353437,0.0003252124,0.9859339,0.0000649068,0.00003868105,0.0002881849,0.0006268789,0.00001764819,0.003447343,0.000151738,0.008699137,0.0001710416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947789,0.0007734362,0.000004577228,0.003518946,0.0003584996,0.0001051664,0.00003856534,0.000005328543,0.0004166132],"genre_scores_gemma":[0.9980528,0.0006771087,0.0002657975,0.00008705758,0.0007053986,8.721088e-7,0.000008061907,7.6562e-7,0.00020218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8414346,"threshold_uncertainty_score":0.2895069,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2764194010","doi":"10.5958/2230-7338.2017.00061.1","title":"Growth and yield of rice as influenced by different planting techniques","year":2017,"lang":"en","type":"article","venue":"Journal of Hill Agriculture","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Extendicare (Canada)","funders":"","keywords":"Sowing; Yield (engineering); Forensic science; Veterinary medicine; Biology; Agronomy; Biotechnology; Medicine; Toxicology; Materials science","authors":[{"name":"Surajit Kundu","is_ca":true},{"name":"D. Mandal","is_ca":true},{"name":"Rakesh Yonzone","is_ca":true},{"name":"Bimal Das","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01144861845549502,"gpt":0.2210422035128714,"spread":0.2095935850573764,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001404347,0.0001038738,0.0001980434,0.000009091141,0.0002111949,0.00009155172,0.0002671842,0.00008984586,0.00003089537],"category_scores_gemma":[0.000281927,0.00002872417,0.00007575997,0.00004573674,0.00003894223,0.0002392279,0.00006306332,0.00016762,5.406988e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007481101,"about_ca_system_score_gemma":0.000002881307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000204578,"about_ca_topic_score_gemma":0.00002271583,"domain_scores_codex":[0.9992828,0.00002285124,0.0003066917,0.00009587785,0.0001819498,0.000109814],"domain_scores_gemma":[0.9988713,0.00009215358,0.0007597313,0.00003709861,0.0001616353,0.00007810628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001362987,0.00005697503,0.01047139,0.00001226693,0.00001563948,0.000002286344,0.00006782109,3.137012e-8,0.9787676,0.00009355495,0.00424923,0.006249581],"study_design_scores_gemma":[0.0001136985,0.0003837434,0.3725212,0.0001167371,0.00001672832,0.00004369993,0.0003835075,4.594891e-7,0.6227419,0.000203989,0.003373647,0.0001006644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946471,0.0001744687,0.000002649101,0.003449052,0.00006326366,0.00008576552,0.00001130909,0.000008548913,0.001557862],"genre_scores_gemma":[0.9990437,0.0002798885,0.00005551596,0.0002757884,0.0001635841,0.000001371508,0.00000355851,4.273194e-7,0.0001761784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3620498,"threshold_uncertainty_score":0.1624362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}