{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005816674,0.002441536,0.005563242,0.001126189,0.001229092,0.001542492,0.001868375,0.004241998,0.01364879],"category_scores_gemma":[0.008684956,0.0012786,0.002863305,0.001095701,0.002213976,0.001563976,0.001173594,0.003677172,0.001050728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780146,"about_ca_system_score_gemma":0.003276419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002442332,"about_ca_topic_score_gemma":0.002727092,"domain_scores_codex":[0.9946126,0.003162622,0.0004747427,0.0007460956,0.0003895322,0.0006145065],"domain_scores_gemma":[0.9953093,0.002272735,0.0009518478,0.0003211056,0.00031959,0.0008254676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9658085,0.0221088,0.0003083083,0.001638892,0.0009035546,0.00001697783,0.00008591101,0.0001562384,0.0004091081,0.0001313865,0.0003143282,0.00811809],"study_design_scores_gemma":[0.9556108,0.04261354,0.0005485585,0.000106454,0.000478093,0.000003674654,0.00002534887,0.0001938531,0.0001119848,0.000100119,0.0001984692,0.000009060487],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174433,0.008179882,0.002307905,0.0011263,0.002826038,0.06366873,0.001120859,0.0002776381,0.003049308],"genre_scores_gemma":[0.8437527,0.004485846,0.009788667,0.001589702,0.001549196,0.1340032,0.0005626291,0.00003209794,0.004235858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01364879,"threshold_uncertainty_score":0.04565972,"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."}}