{"id":"W6967669616","doi":"10.5281/zenodo.10934333","title":"Le bayésianisme : une épistémologie pour les sciences infirmières","year":2024,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Context (archaeology); Scientific terminology; Scientific revolution","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":[0.01493411,0.001261222,0.001640738,0.004816776,0.003878004,0.01186867,0.002517652,0.005526675,0.007207177],"category_scores_gemma":[0.02806718,0.00100226,0.001643289,0.005333688,0.0163791,0.01478228,0.005255737,0.008534125,0.002061847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006363187,"about_ca_system_score_gemma":0.006778089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024255,"about_ca_topic_score_gemma":0.005719522,"domain_scores_codex":[0.9862047,0.007040387,0.0007398051,0.001750919,0.003720318,0.0005438162],"domain_scores_gemma":[0.9819354,0.01196152,0.001333976,0.00156213,0.002571558,0.0006353662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001427555,0.000006700238,0.0002751273,0.0001123876,0.00001667278,0.00005046363,0.0009024574,0.000754377,0.0001577251,0.9811361,0.001318064,0.01525569],"study_design_scores_gemma":[0.00001104242,0.00001236641,0.0003181439,0.0002000215,0.00001447208,0.0001153407,0.0003399969,0.002361384,0.000213091,0.9481348,0.04825162,0.00002792249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008442583,0.02118577,0.8614902,0.02646315,0.001111483,0.0001038556,0.0004079406,0.000336934,0.08045813],"genre_scores_gemma":[0.4598702,0.0349307,0.4594295,0.00616133,0.004680454,0.0006449329,0.0005458565,0.0004457799,0.03329124],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01493411,"threshold_uncertainty_score":0.07898003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180791738555964,"score_gpt":0.3012529545109862,"score_spread":0.1831737806553898,"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."}}