{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001980687,0.0004489697,0.0007101872,0.00002317763,0.0006234818,0.0001071505,0.0008027412,0.0005380401,0.00035795],"category_scores_gemma":[0.001258319,0.000204993,0.0003064763,0.0004215363,0.001051959,0.00009909251,0.001733336,0.0005552018,0.00002551323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003923762,"about_ca_system_score_gemma":0.00003125476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004777278,"about_ca_topic_score_gemma":0.003182358,"domain_scores_codex":[0.9940264,0.003685791,0.0006654114,0.0008559849,0.0003428601,0.0004235378],"domain_scores_gemma":[0.9952579,0.00217857,0.0006480056,0.0002806162,0.001400639,0.0002342853],"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":[0.0001100581,0.003376011,0.2626066,0.0006047098,0.0005239345,0.00001939273,0.007639138,0.000008493885,0.1129726,0.2205687,0.008112157,0.3834583],"study_design_scores_gemma":[0.0004069862,0.000006810506,0.901528,0.001215279,0.00009709658,0.00004010099,0.0002721067,0.0003391626,0.0535402,0.00790079,0.03388793,0.0007655671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9099674,0.007547004,0.0007982323,0.03663293,0.000184112,0.0005279868,0.000210135,0.0000991398,0.04403302],"genre_scores_gemma":[0.9550589,0.02723897,0.004458088,0.0001506768,0.00009080647,0.00003541167,0.0003683665,0.000004012301,0.01259471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6389214,"threshold_uncertainty_score":0.8359372,"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."}}