{"id":"W2224064180","doi":"","title":"L'histoire européenne du maïs revisitée à la lumière de la génétique : la contribution de la côte est de l'Amérique du Nord","year":2007,"lang":"fr","type":"article","venue":"Americanae (AECID Library)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Western europe; Philosophy; European union","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":[0.003306763,0.0004182758,0.0003241786,0.003126217,0.004595532,0.00463865,0.0005911013,0.000851777,0.006593518],"category_scores_gemma":[0.003634372,0.000188296,0.0003116811,0.004212664,0.006157636,0.001681116,0.001181571,0.001792548,0.0004853429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01429004,"about_ca_system_score_gemma":0.01891212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5998611,"about_ca_topic_score_gemma":0.828112,"domain_scores_codex":[0.9989771,0.0002871583,0.00005306503,0.0001549192,0.0003246862,0.0002030864],"domain_scores_gemma":[0.996758,0.001087524,0.000289111,0.0002606764,0.001335232,0.0002694413],"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":[0.0002514505,0.00005759946,0.03506645,0.001335236,0.0001408222,0.001983401,0.08150761,0.0009972205,0.01106719,0.3410732,0.1714772,0.3550425],"study_design_scores_gemma":[0.000003124572,0.00001569377,0.03516072,0.0006247234,0.00002077126,0.000352006,0.00684117,0.00008234502,0.0006240137,0.003578439,0.9526774,0.00001957695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1795738,0.2748845,0.01168051,0.09645567,0.02112269,0.0001246393,0.001439356,0.0002023037,0.4145165],"genre_scores_gemma":[0.5763181,0.08589248,0.007325465,0.01019781,0.002979883,0.00009088146,0.0005480383,0.0003117121,0.3163355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4001389,"threshold_uncertainty_score":0.8049908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003652985364939035,"score_gpt":0.2168367213533813,"score_spread":0.2131837359884422,"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."}}