{"id":"W2015571606","doi":"10.1097/nxn.0b013e3182812d69","title":"SOULAGE-TAVIE","year":2013,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Canadian Institutes of Health Research","funders":"Canadian Institutes of Health Research","keywords":"Operationalization; Personalization; Context (archaeology); Medicine; Intervention (counseling); Session (web analytics); Patient education; Physical therapy; Health care; Medical physics; Medical education; Nursing; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001832582,0.0001280353,0.0002815204,0.0001305488,0.0001316738,0.00004341323,0.00006553549,0.00007440492,0.00005714197],"category_scores_gemma":[0.00001329164,0.0001162934,0.00009407495,0.0001574868,0.00006133065,0.0002196798,0.00002286098,0.0002180281,0.0005166762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002943936,"about_ca_system_score_gemma":0.000150635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003161754,"about_ca_topic_score_gemma":2.173782e-7,"domain_scores_codex":[0.9987348,0.00001830064,0.000494473,0.00007769083,0.0002438967,0.0004308642],"domain_scores_gemma":[0.9990081,0.00005578476,0.0001044359,0.0002680467,0.00007370579,0.0004899247],"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":[0.00002761609,0.0001137581,0.001012944,0.0009159488,0.00001386218,0.000004146155,0.007178637,0.00004173758,0.00004621133,0.0002358844,0.09076344,0.8996458],"study_design_scores_gemma":[0.02143872,0.003683242,0.1356534,0.01794548,0.0004963031,0.005353142,0.03551509,0.4777262,0.003986594,0.004101098,0.2915405,0.002560352],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7672694,0.0002657678,0.08448537,0.003575617,0.003715251,0.001992691,0.000004194053,0.0003271576,0.1383645],"genre_scores_gemma":[0.9280247,0.0000409387,0.06045058,0.01088026,0.0003515839,0.00001569566,0.00004455066,0.00001984067,0.0001718168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8970855,"threshold_uncertainty_score":0.6640999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699747566799963,"score_gpt":0.3163269254635073,"score_spread":0.2993294497955076,"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."}}