{"id":"W7061345239","doi":"","title":"Principales activités des programmes d’amélioration génétique de la lentille et du pois chiche Kabuli à ICARDA.","year":2019,"lang":"fr","type":"article","venue":"Prodinra (INRA Bordeaux-Aquitaine)","topic":"Gyrotron and Vacuum Electronics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pilotage; Publics; West indies; Production system (computer science)","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":[0.00112548,0.0005788984,0.0002376788,0.00095638,0.0007324674,0.0009117307,0.0005629073,0.0003516596,0.002273682],"category_scores_gemma":[0.0004620247,0.0001786823,0.0002900475,0.0007559526,0.0004315208,0.0002379205,0.0004864909,0.0004963115,0.0004775406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003937492,"about_ca_system_score_gemma":0.003644901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05415259,"about_ca_topic_score_gemma":0.1504576,"domain_scores_codex":[0.9995182,0.00009124474,0.00002059609,0.0001279194,0.0001208453,0.0001212386],"domain_scores_gemma":[0.9992087,0.00008426337,0.0001360707,0.00006775829,0.0002854938,0.0002176756],"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":[0.002101596,0.0006681157,0.09557382,0.00136152,0.0001504174,0.0004256708,0.002965913,0.001110653,0.6281253,0.001669956,0.001804232,0.2640427],"study_design_scores_gemma":[0.0001967307,0.003012603,0.7312568,0.000326678,0.0002983666,0.0003801462,0.002330082,0.0008755532,0.08976175,0.0002887483,0.1712066,0.00006583812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506835,0.005757235,0.002344483,0.0005324059,0.0000574467,0.0006027713,0.001227506,0.0002126516,0.03858204],"genre_scores_gemma":[0.9385574,0.003126784,0.01040962,0.0004143791,0.00002630421,0.0006028036,0.002850726,0.0000544656,0.04395745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05415259,"threshold_uncertainty_score":0.1076748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063519648184454,"score_gpt":0.3172406763344018,"score_spread":0.3066054798525573,"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."}}