{"id":"W2157738294","doi":"10.1111/j.1600-9657.2011.01017.x","title":"Surfing for mouth guards: assessing quality of online information","year":2011,"lang":"en","type":"article","venue":"Dental Traumatology","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002560228,0.0001132029,0.0003967462,0.000142846,0.0003457679,0.0000076735,0.0001781856,0.000235572,0.0003865132],"category_scores_gemma":[0.0008656096,0.00009847973,0.00008942042,0.0001482463,0.00007792324,0.002096966,0.00005563323,0.000279188,0.00007007894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007660039,"about_ca_system_score_gemma":0.0002327002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006389721,"about_ca_topic_score_gemma":0.0002095927,"domain_scores_codex":[0.9963519,0.0005671159,0.002453295,0.000115375,0.0001452797,0.000367033],"domain_scores_gemma":[0.9974971,0.0006280784,0.001190686,0.0002395983,0.00035129,0.00009327871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004588644,0.0002058612,0.9264507,0.003107981,0.00002335025,2.146759e-7,0.03043471,0.000001797887,0.00006445289,0.02085866,0.0004222994,0.01797115],"study_design_scores_gemma":[0.001799969,0.00005007759,0.9645863,0.0001316119,0.000008940746,0.000003758635,0.02563551,0.001103631,0.0002931815,0.001197393,0.005045198,0.0001444842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649996,0.00001867201,0.02516666,0.00007058819,0.0007308453,0.0007369649,0.0002863856,0.00007619237,0.007914149],"genre_scores_gemma":[0.9848356,0.000005119643,0.01320173,0.001427292,0.00003335961,0.00007072108,0.00039187,0.000006966307,0.00002739122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03813559,"threshold_uncertainty_score":0.4232048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2779672559242271,"score_gpt":0.5311565303464099,"score_spread":0.2531892744221828,"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."}}