{"id":"W2429280171","doi":"10.2196/ijmr.5767","title":"Quality of Web-based Information for the 10 Most Common Fractures","year":2016,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Readability; Certification; Medicine; Quality (philosophy); Health information; Grade level; Reading (process); Health care; Quality Score; Population; World Wide Web; Computer science; Psychology; Business; Environmental health; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04311766,0.00008549473,0.0003453827,0.0003131568,0.0004699355,0.00002277355,0.0007846939,0.00024399,0.007472192],"category_scores_gemma":[0.0809717,0.00003611635,0.0001301375,0.000285215,0.0002986332,0.00169521,0.0001281073,0.001826904,0.00009985416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003259987,"about_ca_system_score_gemma":0.003353747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002101659,"about_ca_topic_score_gemma":0.00007034911,"domain_scores_codex":[0.9910436,0.002868888,0.002891432,0.0000701268,0.00272066,0.0004053133],"domain_scores_gemma":[0.933282,0.05818307,0.001963526,0.0003100029,0.005897292,0.0003641148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008699736,0.0002528118,0.02606376,0.00103521,0.00008336255,0.000001192278,0.004576616,0.000004705469,0.0003069593,0.002018108,0.1891773,0.7677802],"study_design_scores_gemma":[0.004775111,0.0004751708,0.1037824,0.001910059,0.000006152853,0.000002125229,0.00404064,0.003547385,0.0008703406,0.001662046,0.8788553,0.00007320885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.731842,0.0002276063,0.1096187,0.1447735,0.001882529,0.001972773,0.0002496667,0.00002013645,0.009413065],"genre_scores_gemma":[0.9952019,0.0001088881,0.0002350138,0.003899478,0.0003364692,0.00005729435,0.00000551314,0.000005265375,0.0001501319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.767707,"threshold_uncertainty_score":0.9934351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1891699691619144,"score_gpt":0.6375817876021372,"score_spread":0.4484118184402229,"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."}}