{"id":"W2066734537","doi":"10.2196/jmir.2895","title":"Animated Randomness, Avatars, Movement, and Personalization in Risk Graphics","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre; Centre hospitalier universitaire de Québec; Université Laval","funders":"Informed Medical Decisions Foundation; American Cancer Society","keywords":"Personalization; Computer science; Human–computer interaction; Movement (music); Randomness; Graphics; Computer graphics (images); World Wide Web; Multimedia; Art; Aesthetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003282386,0.0007128015,0.0002736001,0.0003890073,0.0003420234,0.001623731,0.0005679349,0.0007353279,0.00691693],"category_scores_gemma":[0.02488516,0.0003023954,0.0004842267,0.0002160069,0.001080058,0.001535145,0.00128236,0.0007259934,0.0005503608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003999613,"about_ca_system_score_gemma":0.0002411468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003313228,"about_ca_topic_score_gemma":0.000411312,"domain_scores_codex":[0.9968155,0.002508682,0.00009022118,0.0002421796,0.0002567632,0.00008667959],"domain_scores_gemma":[0.9841009,0.01236779,0.001600634,0.001067788,0.0004287153,0.0004342524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0090824,0.003871709,0.1634462,0.004133686,0.0005465402,0.0009765282,0.05271637,0.03197724,0.1245276,0.04310343,0.006880458,0.5587379],"study_design_scores_gemma":[0.003411586,0.03771347,0.4129548,0.003546024,0.003015283,0.004826217,0.02755953,0.1675741,0.06875189,0.1066711,0.1627543,0.001221678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9062518,0.0005161667,0.07577821,0.0007035919,0.0001372282,0.0003983999,0.0001218256,0.0005928407,0.01550006],"genre_scores_gemma":[0.9417017,0.0002065154,0.05526855,0.0002382997,0.00004382669,0.000401604,0.00009077301,0.00007199916,0.001976724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00691693,"threshold_uncertainty_score":0.02313948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06401327117243219,"score_gpt":0.4423368137023102,"score_spread":0.378323542529878,"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."}}