{"id":"W1963527523","doi":"10.1016/j.socscimed.2006.04.005","title":"Applying psychological theory to evidence-based clinical practice: Identifying factors predictive of taking intra-oral radiographs","year":2006,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Wellcome Trust; University of Pittsburgh","keywords":"Variance (accounting); Theory of planned behavior; Proxy (statistics); Explained variation; Cognition; Social cognitive theory; Structural equation modeling; Psychology; Perception; Social psychology; Radiography; Psychological Theory; Intervention (counseling); Clinical psychology; Developmental psychology; Medicine; Statistics; Control (management); Psychiatry; Mathematics; Surgery; Artificial intelligence; Computer science","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007467713,0.0001864057,0.0004580898,0.0004269315,0.0005856164,0.00002926118,0.0006105264,0.000201895,0.001190323],"category_scores_gemma":[0.002848938,0.0001424956,0.0002256067,0.002152024,0.002739838,0.0004503211,0.0000504661,0.0005417251,0.00002042762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249215,"about_ca_system_score_gemma":0.0001247957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001229559,"about_ca_topic_score_gemma":0.00002656344,"domain_scores_codex":[0.99596,0.00073604,0.001055735,0.0006576504,0.0009158592,0.0006746962],"domain_scores_gemma":[0.9973447,0.0009953519,0.0006697768,0.0002892915,0.0003858969,0.00031498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001308981,0.001778026,0.525052,0.00004161094,0.00004091368,0.00004472824,0.01131617,0.000004938685,0.003508247,0.05223131,0.01231727,0.3923559],"study_design_scores_gemma":[0.001001119,0.001892187,0.9823592,0.0004290351,0.0001284811,0.00000614007,0.008996469,0.000009450768,0.00008708697,0.00228604,0.002609482,0.0001952949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654803,0.0006374693,0.01505331,0.001672264,0.003659299,0.001046677,0.00001333001,0.0001025526,0.01233486],"genre_scores_gemma":[0.9969372,0.000008867302,0.0005021699,0.001511524,0.0007726692,0.0001483108,0.000005600244,0.00001241214,0.0001012341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4573073,"threshold_uncertainty_score":0.9999741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2675046114450491,"score_gpt":0.5624923629680564,"score_spread":0.2949877515230073,"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."}}