{"id":"W2126120223","doi":"10.1016/j.pec.2013.08.005","title":"Using a ‘talk’ model of shared decision making to propose an observation-based measure: Observer OPTION5 Item","year":2013,"lang":"en","type":"article","venue":"Patient Education and Counseling","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":221,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Observer (physics); Construct (python library); Computer science; Measure (data warehouse); Formative assessment; Preference elicitation; Preference; Observational study; Construct validity; Group decision-making; Psychology; Data mining; Psychometrics; Social psychology; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003453919,0.0002003749,0.0002543735,0.0002522594,0.0008438773,0.00004499927,0.0002603116,0.0001611522,0.0001450965],"category_scores_gemma":[0.0007915136,0.0001993594,0.00004505649,0.00043913,0.00003170787,0.000630876,0.00007436043,0.000288441,0.00003116409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003557201,"about_ca_system_score_gemma":0.001580382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008411563,"about_ca_topic_score_gemma":0.0001346938,"domain_scores_codex":[0.9972206,0.0004509886,0.001066659,0.0003965798,0.0005240686,0.0003411427],"domain_scores_gemma":[0.9952461,0.0005315071,0.0006019502,0.000742127,0.002623674,0.0002546543],"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":[0.000528725,0.001998438,0.2679388,0.002196478,0.00005076082,2.467991e-7,0.2485526,0.1522012,0.01415586,0.001874909,0.002114914,0.3083871],"study_design_scores_gemma":[0.0004531207,0.0001403724,0.01593327,0.002776288,0.00002740131,6.206928e-7,0.02639265,0.9514546,0.00009587928,0.002082871,0.000300896,0.00034207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724176,0.000664979,0.02299776,0.000685992,0.0005982631,0.002440304,0.00002357153,0.00008073971,0.00009078957],"genre_scores_gemma":[0.8407605,0.00001644848,0.1557191,0.002633868,0.00005203605,0.0006778786,0.00007907696,0.00003438955,0.00002671191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7992533,"threshold_uncertainty_score":0.8129641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3306638493183497,"score_gpt":0.4380355698265496,"score_spread":0.1073717205081998,"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."}}