{"id":"W2953521998","doi":"10.1002/aet2.10376","title":"The Revised <scp>METRIQ</scp> Score: A Quality Evaluation Tool for Online Educational Resources","year":2019,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Saskatchewan; University of Calgary; University of Alberta","funders":"Royal College of Physicians and Surgeons of Canada; Canadian Association of Emergency Physicians","keywords":"CLARITY; Likert scale; Usability; Descriptive statistics; Quality (philosophy); Scale (ratio); Medical education; Quality Score; Thematic analysis; Psychology; Raw score; Medicine; Computer science; Applied psychology; Statistics; Qualitative research; Operations management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.03086518,0.0007252559,0.001147061,0.006873767,0.0008254825,0.001873744,0.001551944,0.0009197569,0.00547258],"category_scores_gemma":[0.1005277,0.0004614622,0.002676559,0.004808057,0.0008545264,0.00288617,0.003508179,0.001858115,0.001483176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002099639,"about_ca_system_score_gemma":0.003872085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693874,"about_ca_topic_score_gemma":0.00412002,"domain_scores_codex":[0.972307,0.01216553,0.006782296,0.000860282,0.006979324,0.0009056956],"domain_scores_gemma":[0.8873212,0.0521868,0.0249063,0.004349516,0.02820373,0.003032339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001466616,0.001323719,0.4370297,0.005197756,0.001023761,0.0003199154,0.004854538,0.004192319,0.003151366,0.004135499,0.1205033,0.4168015],"study_design_scores_gemma":[0.0006431279,0.002407303,0.8821136,0.003155334,0.0003560889,0.001337875,0.005509501,0.01423825,0.003376894,0.006204926,0.08024282,0.0004141452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7462339,0.003260042,0.109567,0.01004192,0.0007461327,0.03158708,0.04978657,0.003855728,0.04492161],"genre_scores_gemma":[0.7083815,0.00128465,0.2245548,0.001633558,0.0001962933,0.04530169,0.01514162,0.0004208956,0.003085077],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03086518,"threshold_uncertainty_score":0.1632326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2613858702153443,"score_gpt":0.4955225976643363,"score_spread":0.2341367274489921,"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."}}