{"id":"W7005404708","doi":"","title":"Retisser des liens entre éleveurs, bouchers et consommateurs","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement","funders":"","keywords":"Context (archaeology); Identification (biology); Identity (music); Term (time)","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":[0.005490237,0.000439226,0.0005979791,0.001792698,0.004745357,0.00521433,0.0007019904,0.002341157,0.05933354],"category_scores_gemma":[0.01342764,0.000315649,0.0005421454,0.001318863,0.001474448,0.003477999,0.002468987,0.002249294,0.01037387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004157825,"about_ca_system_score_gemma":0.004566226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02789529,"about_ca_topic_score_gemma":0.03204283,"domain_scores_codex":[0.9960576,0.0015325,0.0001330917,0.0005618131,0.001012218,0.0007026788],"domain_scores_gemma":[0.9917494,0.002872527,0.0008301316,0.0004057603,0.002204653,0.00193746],"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":[0.002454689,0.0008409734,0.116855,0.0005940001,0.0001652752,0.004573514,0.0429321,0.002866717,0.02078206,0.1317393,0.07020748,0.6059888],"study_design_scores_gemma":[0.000149933,0.0009504658,0.1570518,0.0007090329,0.0001208497,0.003397541,0.0694934,0.004253149,0.008348551,0.02060533,0.734701,0.0002188449],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7318618,0.008753843,0.02665856,0.0372524,0.003740736,0.000295615,0.001093829,0.00093831,0.1894049],"genre_scores_gemma":[0.7180989,0.001821864,0.009280154,0.001633181,0.0006513289,0.0001271359,0.0003930516,0.0002053304,0.267789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05933354,"threshold_uncertainty_score":0.1984904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303544844181278,"score_gpt":0.2129912152538249,"score_spread":0.1999557668120121,"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."}}