{"id":"W4290004016","doi":"","title":"Growth and precocity of Maraîchine cows","year":2008,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Saint-Laurent","funders":"","keywords":"China; Biology; Animal science; Geography","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":[0.0002880493,0.0002256794,0.000289946,0.0009783705,0.0003165033,0.0005492899,0.0001478902,0.0003352766,0.001592786],"category_scores_gemma":[0.0006528402,0.0001603824,0.0001209832,0.0003709267,0.0002767702,0.0001816197,0.00024873,0.0003572793,0.0004002543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008203561,"about_ca_system_score_gemma":0.0002253388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009116467,"about_ca_topic_score_gemma":0.00925466,"domain_scores_codex":[0.999873,0.00002657487,0.000004497426,0.00004292651,0.00002090312,0.00003202482],"domain_scores_gemma":[0.9995729,0.0001215132,0.00009330691,0.00002821081,0.00005283477,0.0001312198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01137319,0.0004037182,0.7077524,0.00007764262,0.0001748576,0.001944464,0.001777163,0.0006532116,0.2394491,0.0008353369,0.001141642,0.03441728],"study_design_scores_gemma":[0.00002431528,0.000591199,0.9931509,0.00001011906,0.00002470875,0.0004882133,0.0003115275,0.0003613934,0.003276828,0.0001186518,0.0016316,0.00001046482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986072,0.00039521,0.00004481171,0.00003042601,0.000004675998,0.000002453381,0.0002210224,0.000003705271,0.0006905773],"genre_scores_gemma":[0.9953035,0.0002859564,0.0000844562,0.00004152255,0.00001566524,0.000009939028,0.0005502629,0.000009581177,0.003699009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009116467,"threshold_uncertainty_score":0.01812679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675578481029784,"score_gpt":0.1987317721990809,"score_spread":0.1819759873887831,"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."}}