{"id":"W1901387190","doi":"10.2196/ijmr.4712","title":"Third Molars on the Internet: A Guide for Assessing Information Quality and Readability","year":2015,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Readability; The Internet; Quality (philosophy); Molar; Information quality; Computer science; Information retrieval; World Wide Web; Medicine; Dentistry; Information system; Political science","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":[0.004332351,0.001231029,0.001327731,0.009032768,0.0007464102,0.001678895,0.001016105,0.001220985,0.02403848],"category_scores_gemma":[0.01065418,0.0007005939,0.001389462,0.003075855,0.0005725853,0.002484635,0.001356003,0.001645941,0.0101777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000646122,"about_ca_system_score_gemma":0.001768932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002173872,"about_ca_topic_score_gemma":0.006729217,"domain_scores_codex":[0.9974408,0.0008178147,0.0007883458,0.0001134967,0.0007149475,0.0001245554],"domain_scores_gemma":[0.9915188,0.004058565,0.001277067,0.0004026894,0.002287174,0.0004558359],"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":[0.001067773,0.002779343,0.1038689,0.006433628,0.0002025573,0.001832341,0.010111,0.001054247,0.01497409,0.002755411,0.2953092,0.5596115],"study_design_scores_gemma":[0.0003811014,0.002945783,0.4360549,0.005593058,0.0001980372,0.004188833,0.009909965,0.00458147,0.009079238,0.007306698,0.519316,0.0004447771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5344211,0.0197672,0.0891565,0.009165185,0.0009617479,0.06367414,0.09472997,0.009120503,0.1790036],"genre_scores_gemma":[0.1737704,0.02473039,0.632711,0.003822154,0.0004286114,0.0547231,0.03519743,0.001405364,0.07321156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02403848,"threshold_uncertainty_score":0.0804168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4022422926235443,"score_gpt":0.667642872979347,"score_spread":0.2654005803558027,"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."}}