{"id":"W6991097069","doi":"","title":"Filières agro-alimentaires et concentration agro-industrielle, le cas du riz au Vénézuela","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Oryza sativa; Yield (engineering)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006283895,0.0009106038,0.0003953281,0.001532229,0.001789595,0.003940916,0.001073909,0.001338873,0.1856343],"category_scores_gemma":[0.001433463,0.0004252736,0.0004080285,0.00266759,0.0007338288,0.0009517224,0.0007387621,0.001459119,0.03718544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01223203,"about_ca_system_score_gemma":0.01165554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7534687,"about_ca_topic_score_gemma":0.8097934,"domain_scores_codex":[0.9993609,0.00004134568,0.00002532313,0.00009523442,0.0003378573,0.0001393451],"domain_scores_gemma":[0.9991063,0.0001086907,0.00006276555,0.00008539502,0.0004997322,0.0001370347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004593535,0.0001407006,0.00409171,0.0006353495,0.00002125551,0.0001493686,0.0005000544,0.0007443163,0.003550271,0.05626293,0.7165524,0.2168924],"study_design_scores_gemma":[0.00002127922,0.00001718722,0.01067361,0.000100737,0.000006176033,0.00004209976,0.0001885413,0.0001705227,0.001184941,0.0006075237,0.986976,0.00001136059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007850831,0.01992045,0.001283586,0.006364431,0.0009270716,0.0001512605,0.01178853,0.0008692933,0.9508445],"genre_scores_gemma":[0.00898091,0.003613218,0.0009153541,0.00008051377,0.00005285552,0.00002653062,0.001552511,0.0001242629,0.9846539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7534687,"threshold_uncertainty_score":0.6210088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004160723107920363,"score_gpt":0.1553671809829836,"score_spread":0.1512064578750633,"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."}}