{"id":"W2755195495","doi":"10.1017/cem.2017.387","title":"Four strategies to find, evaluate, and engage with online resources in emergency medicine","year":2017,"lang":"en","type":"review","venue":"Canadian Journal of Emergency Medicine","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Saskatchewan; University of Ottawa","funders":"","keywords":"Educational resources; Online learning; Medicine; Open educational resources; Medical education; Digital era; Critical appraisal; World Wide Web; Knowledge management; Alternative medicine; Computer science; Psychology; The Internet; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006330878,0.0004793688,0.002190225,0.00161794,0.000881028,0.00001946782,0.001081008,0.000404178,0.005301946],"category_scores_gemma":[0.02249284,0.0003424798,0.0001370367,0.001300966,0.0006783531,0.0003263139,0.00002110564,0.001289366,0.000009453282],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007316325,"about_ca_system_score_gemma":0.01141846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.220656,"about_ca_topic_score_gemma":0.7683103,"domain_scores_codex":[0.9940573,0.001248809,0.002410086,0.0004073434,0.00100941,0.0008670659],"domain_scores_gemma":[0.9931444,0.0008083014,0.002200858,0.0004420702,0.0009231758,0.002481201],"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":[0.00002870075,0.00004415312,0.005267635,0.005989447,0.0002287834,0.0002024901,0.156596,0.00000301293,4.737057e-7,0.000644541,0.05542697,0.7755678],"study_design_scores_gemma":[0.0003157856,0.0006068622,0.005157572,0.01730826,0.0005055412,0.00001240975,0.01869386,3.285128e-7,4.59264e-9,0.0004503188,0.9566497,0.0002993511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002363545,0.9486241,0.000004384458,0.01160304,0.02983108,0.001628796,0.00002477043,0.000008265391,0.005911998],"genre_scores_gemma":[0.0004354887,0.985202,0.00006954137,0.00004025656,0.01279765,0.0001041701,0.00001885694,0.00005882694,0.001273234],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9012228,"threshold_uncertainty_score":0.9999027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5942497961702271,"score_gpt":0.5549026501505441,"score_spread":0.03934714601968303,"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."}}