{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01298753,0.0004172627,0.001229344,0.01370867,0.0004245201,0.002501384,0.0009254448,0.001025227,0.003393161],"category_scores_gemma":[0.06798351,0.0002926223,0.002234418,0.007360999,0.0007408166,0.002979729,0.001699652,0.0006513365,0.0005291626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006213809,"about_ca_system_score_gemma":0.001054808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383839,"about_ca_topic_score_gemma":0.001843935,"domain_scores_codex":[0.9901544,0.002272089,0.003202232,0.0004446824,0.003649361,0.0002773632],"domain_scores_gemma":[0.9049884,0.05259771,0.02979394,0.001999857,0.008886416,0.001733703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009654008,0.0002649636,0.8856673,0.01018528,0.00111379,0.0002622326,0.002311841,0.0001845442,0.0008115209,0.0001751874,0.001188087,0.09686995],"study_design_scores_gemma":[0.0000823292,0.001303729,0.979114,0.004902112,0.001383942,0.001301297,0.004468475,0.0008693926,0.001176104,0.0005154474,0.004805933,0.00007720206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574512,0.02448217,0.002392192,0.0007703911,0.00008977948,0.0009959823,0.004568029,0.0001174563,0.009132826],"genre_scores_gemma":[0.9798424,0.01002022,0.005609888,0.00025723,0.0001009676,0.0004135204,0.002913118,0.00002388562,0.0008187863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01370867,"threshold_uncertainty_score":0.06868541,"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."}}