{"id":"W4289801071","doi":"","title":"QualityTruite 2. Optimisation des nouveaux programmes de sélection généalogique de type Prosper+ sur les rendements de découpe et la qualité de la chair","year":2011,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002391475,0.0008987979,0.001123356,0.0007131538,0.0005040505,0.001233695,0.0009453534,0.001320339,0.008917467],"category_scores_gemma":[0.004082213,0.000336997,0.0009456636,0.0005076339,0.0004636202,0.0005477677,0.0005641074,0.0007215116,0.0009307199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066675,"about_ca_system_score_gemma":0.0009204907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007178421,"about_ca_topic_score_gemma":0.007286662,"domain_scores_codex":[0.9992055,0.0002420898,0.00003209872,0.0001927597,0.0001663069,0.0001612989],"domain_scores_gemma":[0.9964787,0.002429613,0.0002447488,0.0002669804,0.000388239,0.0001918138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002635996,0.0007153897,0.009671493,0.0006203797,0.0003060524,0.0001261793,0.0002248455,0.8070043,0.06559622,0.002433788,0.002339487,0.1083259],"study_design_scores_gemma":[0.001179825,0.004399786,0.02398031,0.0001043437,0.0004160075,0.0001446359,0.0001898667,0.8460236,0.1141226,0.003285915,0.006044911,0.0001082698],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8670933,0.001038864,0.1184333,0.000435638,0.0001603145,0.0002198895,0.001445937,0.001725035,0.009447757],"genre_scores_gemma":[0.9473574,0.0002844229,0.04272923,0.0001545372,0.00002424098,0.0002915506,0.001100134,0.0003451041,0.007713393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008917467,"threshold_uncertainty_score":0.02983195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04294017417481636,"score_gpt":0.2902370817180928,"score_spread":0.2472969075432765,"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."}}