{"id":"W4285388235","doi":"10.7202/1090531ar","title":"Méthode d’opérationnalisation de mesures de la performance sensibles aux soins infirmiers basées sur des données de routine","year":2022,"lang":"en","type":"article","venue":"Science of Nursing and Health Practices","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Operationalization; Computer science; Argumentation theory; Measure (data warehouse); Relevance (law); Process (computing); Nursing research; Psychology; Process management; Nursing; Medicine; Data mining; Epistemology; Political science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.04743284,0.00265678,0.001797833,0.00608492,0.0009536162,0.007210832,0.002841237,0.00141116,0.01339151],"category_scores_gemma":[0.170625,0.001109739,0.003568511,0.00532454,0.002170637,0.003315491,0.002400929,0.003467076,0.002898622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002314175,"about_ca_system_score_gemma":0.005788781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01464296,"about_ca_topic_score_gemma":0.01140906,"domain_scores_codex":[0.9396103,0.02630342,0.009895781,0.009569146,0.01376234,0.0008590059],"domain_scores_gemma":[0.8450798,0.1059502,0.007565874,0.01478994,0.02617865,0.0004354946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002214623,0.0003550842,0.03203425,0.004279231,0.001474641,0.0003762567,0.0103325,0.02627408,0.01703246,0.04146212,0.01223964,0.8519251],"study_design_scores_gemma":[0.001360416,0.001510099,0.1180375,0.003902164,0.0009484121,0.00156537,0.008064544,0.4692472,0.08192804,0.05767393,0.254612,0.001150398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01288323,0.0003524832,0.9767556,0.0003063698,0.0002004738,0.001953078,0.001894036,0.002706441,0.002948481],"genre_scores_gemma":[0.07457604,0.0001950758,0.9164621,0.00008067441,0.00004706303,0.004804952,0.001565803,0.0004247999,0.001843559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04743284,"threshold_uncertainty_score":0.2508518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4874646037653567,"score_gpt":0.5844006288809658,"score_spread":0.09693602511560906,"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."}}