{"id":"W4238338021","doi":"10.1142/s0219030302001222","title":"General Information & Statistics","year":2002,"lang":"en","type":"article","venue":"Asia-Pacific Biotech News","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Agriculture; Economic growth; Biosafety; Socioeconomics; Medicine; Agricultural economics; Biotechnology; Business; Geography; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001631437,0.0009984851,0.00156534,0.009198725,0.0007102831,0.001281072,0.001779564,0.001009922,0.3377116],"category_scores_gemma":[0.0141269,0.0006821358,0.0006334791,0.01567576,0.0003654611,0.001368765,0.0007379597,0.001536814,0.2638181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002038605,"about_ca_system_score_gemma":0.003985464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05618685,"about_ca_topic_score_gemma":0.03805194,"domain_scores_codex":[0.9983681,0.0002496614,0.0003097757,0.0002713069,0.0005943999,0.000206842],"domain_scores_gemma":[0.9911093,0.002703482,0.0008539695,0.0005804758,0.004104025,0.0006487627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002527124,0.00001556631,0.0004455904,0.0002672586,0.00000359702,0.00001850321,0.00001111205,0.00007199442,0.0000163306,0.0002672505,0.9918371,0.007020385],"study_design_scores_gemma":[0.00008250611,0.00004608275,0.01694688,0.0005942706,0.00001168342,0.0001033321,0.00009544671,0.0002194091,0.00006612781,0.001214173,0.9805978,0.00002223112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005190694,0.001131083,0.0004385733,0.001541661,0.0006100636,0.0005936376,0.944727,0.0004661274,0.04997282],"genre_scores_gemma":[0.005246568,0.004335052,0.001424526,0.00353053,0.0007632067,0.003148674,0.825016,0.000553481,0.1559819],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6622884,"threshold_uncertainty_score":0.944674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694662462992024,"score_gpt":0.2391943570156288,"score_spread":0.2222477323857086,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}