{"id":"W7117563087","doi":"10.5281/zenodo.18084494","title":"Cohérence : Les bonnes résolutions2026","year":2025,"lang":"","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Derogation; Limiting","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":[0.006724196,0.001570062,0.0007417653,0.002230104,0.005734573,0.01516367,0.001923859,0.004830338,0.05137929],"category_scores_gemma":[0.01579943,0.001067609,0.001106172,0.002497684,0.01094022,0.02109938,0.007647741,0.008333414,0.0150626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006407417,"about_ca_system_score_gemma":0.004897217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009951686,"about_ca_topic_score_gemma":0.00769276,"domain_scores_codex":[0.9880392,0.004852173,0.0006374978,0.001622277,0.004040172,0.0008087453],"domain_scores_gemma":[0.9925194,0.002668269,0.0003890471,0.001482387,0.002491029,0.0004498802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003902709,0.00001238943,0.0001070286,0.0001320564,0.00000901553,0.00007135154,0.002327871,0.0002892266,0.0004918076,0.8855878,0.06692819,0.04400424],"study_design_scores_gemma":[0.000008799227,0.00001372636,0.0001292252,0.0001796951,0.000006505455,0.0001198753,0.0009596059,0.0003971249,0.0006544428,0.1356325,0.8618744,0.00002406182],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006410312,0.02736951,0.1655681,0.06349611,0.01031865,0.0002121734,0.0006094272,0.001480082,0.7245356],"genre_scores_gemma":[0.2039217,0.01745965,0.1110879,0.01637511,0.006160523,0.0006006531,0.001464595,0.003724465,0.6392055],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05137929,"threshold_uncertainty_score":0.1718808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1666486001753765,"score_gpt":0.4049813384841041,"score_spread":0.2383327383087276,"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."}}