{"id":"W8075891","doi":"10.4000/transcontinentales.1107","title":"Céréaliculture commerciale et concentration foncière","year":2011,"lang":"fr","type":"article","venue":"Transcontinentales","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Forestry; Humanities; Geography; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.0006002191,0.0003730599,0.0002349053,0.001764944,0.001076698,0.003998126,0.0003664882,0.0003632637,0.01667359],"category_scores_gemma":[0.001616556,0.0002074716,0.0002306721,0.004226722,0.001542571,0.001283142,0.001021613,0.0006288037,0.001347194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004369664,"about_ca_system_score_gemma":0.001214366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05441729,"about_ca_topic_score_gemma":0.09189841,"domain_scores_codex":[0.9992255,0.00009028453,0.00003360791,0.0002885836,0.0002119878,0.0001499729],"domain_scores_gemma":[0.9989912,0.0002038789,0.0003089043,0.0000715771,0.0003365483,0.00008791834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004875914,0.0001840636,0.2444243,0.0009710952,0.000259959,0.001229636,0.01519534,0.003955663,0.02400734,0.2033273,0.01233935,0.4936184],"study_design_scores_gemma":[0.00002450428,0.0001457611,0.664806,0.0001727634,0.00004586909,0.0005557387,0.004718372,0.001094288,0.004013231,0.004824388,0.3195532,0.00004584416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7025567,0.01207189,0.003411366,0.002608056,0.00006755815,0.0000429601,0.001731542,0.0001487179,0.2773611],"genre_scores_gemma":[0.9422425,0.002964186,0.001618194,0.0001455909,0.00006408209,0.00003232163,0.0006179798,0.00004181335,0.05227327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05441729,"threshold_uncertainty_score":0.1082011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05267997961103026,"score_gpt":0.2558348848933874,"score_spread":0.2031549052823571,"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."}}