{"id":"W4416015384","doi":"10.2196/73245","title":"Motivational Framing Strategies in Health Care Information Security Training: Randomized Controlled Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Framing (construction); Health care; Randomized controlled trial; Framing effect; Health information; Empathy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001994339,0.0001252974,0.0005346717,0.0004065903,0.0001305792,0.0002500409,0.00038469,0.0001489457,0.0001026545],"category_scores_gemma":[0.001715896,0.0001046984,0.0001229927,0.0005311637,0.00006658504,0.001874817,0.00005155078,0.000320181,0.00001219469],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992761,"about_ca_system_score_gemma":0.009806789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009393708,"about_ca_topic_score_gemma":0.00003934769,"domain_scores_codex":[0.9975083,0.0003847346,0.001105801,0.0001431484,0.0006462919,0.0002117311],"domain_scores_gemma":[0.9987561,0.0003537763,0.0003405958,0.0001976869,0.00022664,0.0001252567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.02880757,0.0001517043,0.000006385788,0.0001006578,0.0000139154,1.070611e-7,0.07653367,0.00001102493,5.989334e-8,0.8513151,0.002048114,0.04101174],"study_design_scores_gemma":[0.8899121,0.00005149132,0.0003672257,0.000228575,0.000004427958,0.000001676673,0.01725947,0.0484594,0.00000246497,0.02905142,0.01450721,0.0001544889],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.197805,0.001182879,0.4136387,0.143157,0.01368169,0.02039731,0.000006188716,0.0007650842,0.2093661],"genre_scores_gemma":[0.9907603,0.00002018247,0.00110798,0.006627061,0.0001217364,0.001224389,0.00009040119,0.00000187817,0.00004605971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8611045,"threshold_uncertainty_score":0.9958067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007141956051309759,"score_gpt":0.3166401269765462,"score_spread":0.3094981709252365,"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."}}