{"id":"W7008741561","doi":"","title":"Création et exploitation d'une base de données appliquée au chien de race Terre-Neuve","year":2005,"lang":"fr","type":"other","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Race (biology); Subject (documents); Identity (music); Base (topology); Set (abstract data type)","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":[0.00641831,0.001438643,0.0009606403,0.005684328,0.00224787,0.006107022,0.001712531,0.001710842,0.005207159],"category_scores_gemma":[0.02162767,0.0008240431,0.002004331,0.003139312,0.00151679,0.003124176,0.003089165,0.002118064,0.002254265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001818226,"about_ca_system_score_gemma":0.006587297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.120995,"about_ca_topic_score_gemma":0.1568239,"domain_scores_codex":[0.993371,0.001176766,0.0005267347,0.001110203,0.00357941,0.0002358033],"domain_scores_gemma":[0.9826413,0.008389278,0.0005376952,0.002965546,0.004807589,0.0006587214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001155418,0.001069366,0.03723876,0.002780694,0.000795356,0.003405365,0.0222447,0.02040262,0.1175188,0.009405909,0.02799145,0.7559916],"study_design_scores_gemma":[0.000365862,0.0009188305,0.1135407,0.001472208,0.0008270973,0.002631387,0.02134688,0.1330504,0.1144245,0.007445996,0.6032652,0.0007108278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5149983,0.004185405,0.3662154,0.004701245,0.0006880553,0.002283931,0.03808582,0.02555727,0.04328446],"genre_scores_gemma":[0.300502,0.002522255,0.6147628,0.0004212241,0.0001237717,0.0007904618,0.04693409,0.002832554,0.03111072],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.120995,"threshold_uncertainty_score":0.2405815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436580201547217,"score_gpt":0.2706506451177057,"score_spread":0.2462848431022335,"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."}}