{"id":"W4389569284","doi":"10.2196/45379","title":"The Framing Effect of Digital Textual Messages on Uptake Rates of Medical Checkups: Field Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Health care; Context (archaeology); Fecal occult blood; Family medicine; Outreach; Political science; Colonoscopy; Internal medicine","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":[0.02118154,0.000783079,0.000578477,0.001204097,0.001050339,0.001187682,0.0009109101,0.001033303,0.00742503],"category_scores_gemma":[0.05778673,0.0007680543,0.001133075,0.0006394202,0.00184442,0.001202082,0.001120776,0.001562372,0.0008928402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429858,"about_ca_system_score_gemma":0.001273088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00383125,"about_ca_topic_score_gemma":0.002000554,"domain_scores_codex":[0.9855288,0.01009882,0.0006234735,0.001596284,0.001395321,0.0007573126],"domain_scores_gemma":[0.8904423,0.08820859,0.01203311,0.003662466,0.003661103,0.001992421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07413047,0.260508,0.4866242,0.001688305,0.001063728,0.0002339847,0.04096169,0.001617686,0.007887932,0.001991004,0.001949494,0.1213436],"study_design_scores_gemma":[0.006566681,0.2451362,0.7198817,0.0003261599,0.001345566,0.0001618344,0.00949202,0.005650264,0.006475777,0.001196402,0.00357673,0.000190694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973417,0.00003760721,0.0003412717,0.00004537308,0.00002282764,0.0009179944,0.0001112935,0.000006346526,0.001175524],"genre_scores_gemma":[0.9961724,0.0000499816,0.001143522,0.0001078926,0.00004855613,0.001412506,0.00008504054,0.000004925908,0.000975241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02118154,"threshold_uncertainty_score":0.11202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03556162570676979,"score_gpt":0.3847067993849445,"score_spread":0.3491451736781747,"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."}}