{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002757267,0.0002667689,0.0004207312,0.006252102,0.0002537893,0.00133347,0.0003549596,0.0004185103,0.004547023],"category_scores_gemma":[0.02473297,0.0001065998,0.0009850576,0.003782591,0.0002889376,0.00134477,0.0008355678,0.0004076215,0.0007420452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004760805,"about_ca_system_score_gemma":0.0005275297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003581793,"about_ca_topic_score_gemma":0.005815131,"domain_scores_codex":[0.9965065,0.0007657501,0.0008211802,0.0002643821,0.001497641,0.0001445206],"domain_scores_gemma":[0.9764673,0.008857194,0.01009709,0.0006197812,0.003164935,0.0007937028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003322607,0.0001126507,0.9240572,0.000948588,0.000263922,0.0001377668,0.0006977121,0.0003023228,0.000454876,0.0001084007,0.002903802,0.06968043],"study_design_scores_gemma":[0.00001377841,0.0001848005,0.9933255,0.0004503978,0.0001380041,0.0005897818,0.0006894771,0.0004610591,0.0004415122,0.0001711503,0.003509623,0.00002485355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729431,0.004810142,0.0009671439,0.0005962874,0.00004119456,0.0001645507,0.01204602,0.0001805892,0.008251132],"genre_scores_gemma":[0.9887282,0.001804658,0.002504783,0.0001742843,0.00005367542,0.00007940668,0.005462801,0.00003171994,0.001160461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006252102,"threshold_uncertainty_score":0.01521134,"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."}}