{"id":"W4403620989","doi":"","title":"Le projet WELL-E : l’IA au service du bien-être animal – cas d’étude sur la réponse aux besoins fondamentaux des ruminants à travers une compréhension de leurs états émotionnels","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"","keywords":"Humanities; Art","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":[0.006801792,0.0005223891,0.0003408748,0.00112386,0.002883039,0.003275849,0.001130547,0.002546247,0.01952271],"category_scores_gemma":[0.008795157,0.0002725644,0.0004540058,0.001244762,0.00288652,0.002247696,0.003418788,0.002693923,0.003235285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003911662,"about_ca_system_score_gemma":0.008917084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02724735,"about_ca_topic_score_gemma":0.03654552,"domain_scores_codex":[0.9964181,0.002191684,0.00009938081,0.0002974998,0.0004593902,0.0005339306],"domain_scores_gemma":[0.9894379,0.003546641,0.0006179665,0.0006785979,0.001967906,0.003751029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004698501,0.003433071,0.1929968,0.001201073,0.0001892979,0.006689907,0.1372976,0.001334648,0.02865,0.06981533,0.07836101,0.4753329],"study_design_scores_gemma":[0.0001908139,0.002657976,0.2399909,0.0007469945,0.0001118577,0.00270781,0.1332751,0.001033832,0.008330363,0.01168048,0.5991362,0.000137605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7448866,0.005265263,0.01730057,0.09666491,0.001674735,0.0008970192,0.002381893,0.00034805,0.1305809],"genre_scores_gemma":[0.8270964,0.002562803,0.0159133,0.004879654,0.0002774496,0.001007358,0.001177282,0.0002311377,0.1468546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02724735,"threshold_uncertainty_score":0.06530994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893713551283423,"score_gpt":0.3049354415317802,"score_spread":0.275998306018946,"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."}}