{"id":"W3013944779","doi":"","title":"An analysis of concussion comics","year":2019,"lang":"en","type":"article","venue":"Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Comics; Misinformation; Concussion; Commodification; Social media; Athletes; Content analysis; Psychology; Poison control; Consumption (sociology); Injury prevention; Advertising; Applied psychology; Medicine; Sociology; Political science; Computer security; Computer science; Business; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002099658,0.0004253506,0.0004935474,0.01666478,0.001696814,0.002257243,0.0005062669,0.000608516,0.0041113],"category_scores_gemma":[0.01052941,0.0002251068,0.0004535172,0.01665001,0.001362374,0.002443389,0.002358178,0.0005470375,0.0007479877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002359791,"about_ca_system_score_gemma":0.002206991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006734819,"about_ca_topic_score_gemma":0.009454667,"domain_scores_codex":[0.9976625,0.0006763683,0.0002994419,0.0001913258,0.0008981162,0.0002721415],"domain_scores_gemma":[0.9888975,0.006582989,0.001483287,0.0002768471,0.002509797,0.0002496401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000574437,0.0001802162,0.1243663,0.01396977,0.0001073812,0.006443247,0.5781356,0.0002725598,0.01413012,0.01173612,0.01559565,0.2344886],"study_design_scores_gemma":[0.00001446043,0.0001849007,0.2901014,0.004103291,0.0001080606,0.002201899,0.5578721,0.0007744713,0.003826154,0.001247694,0.1394789,0.00008665907],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968488,0.002108954,0.001554022,0.000865892,0.0000795472,0.0007027602,0.005750097,0.00006063011,0.02039015],"genre_scores_gemma":[0.9666782,0.005697633,0.006164767,0.0003863328,0.0001547443,0.001089456,0.007940889,0.0001404932,0.01174747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01666478,"threshold_uncertainty_score":0.01712155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269416171921145,"score_gpt":0.2980172776785313,"score_spread":0.2753231159593199,"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."}}