{"id":"W4290003993","doi":"","title":"Conservation d’une race à faible effectif : gestion des accouplements en race bovine Maraîchine","year":2009,"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":"Cégep de Saint-Laurent","funders":"","keywords":"Race (biology); China; Geography; Humanities; Sociology; Art; Gender studies; Archaeology","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":[0.00119265,0.0002968951,0.0005244256,0.0006871425,0.001567225,0.001082111,0.0006396421,0.001193897,0.006093436],"category_scores_gemma":[0.002016082,0.0002271997,0.0002677086,0.0005322432,0.0009529504,0.0007742229,0.0008827401,0.000763742,0.0005063257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172491,"about_ca_system_score_gemma":0.0007209256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04286245,"about_ca_topic_score_gemma":0.06781355,"domain_scores_codex":[0.9993075,0.0002334932,0.00001679292,0.0002055438,0.00008303073,0.0001536325],"domain_scores_gemma":[0.99848,0.000437024,0.0004015731,0.0001465392,0.0001975601,0.0003371972],"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":[0.003708916,0.0003921079,0.4275342,0.0003382162,0.0005107343,0.001029839,0.007309354,0.001757334,0.4818498,0.007917755,0.002757999,0.0648937],"study_design_scores_gemma":[0.00004264106,0.0006812264,0.9696139,0.00008695856,0.0001448633,0.0005280121,0.003012651,0.001750901,0.01062883,0.001475683,0.01198976,0.00004459438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940301,0.000875366,0.0007498693,0.0008353263,0.00002206222,0.000008198948,0.0001207205,0.00001781973,0.003340602],"genre_scores_gemma":[0.9945347,0.0002785012,0.0009513824,0.000250821,0.00001479835,0.00001994467,0.00007933326,0.00001578328,0.003854674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04286245,"threshold_uncertainty_score":0.08522594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803329026554492,"score_gpt":0.2372391081217432,"score_spread":0.2192058178561983,"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."}}