{"id":"W2800798340","doi":"10.1111/medu.13577","title":"Facilitating co‐learning of medical ethical issues using Facebook","year":2018,"lang":"en","type":"article","venue":"Medical Education","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Columbia university; Library science; Ethical issues; Medical ethics; Medical school; Sociology; Media studies; Political science; Medicine; Law; Medical education; Computer science; Engineering ethics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00383319,0.0009112114,0.0003409511,0.000973901,0.002959765,0.004592283,0.001290944,0.001640663,0.02737973],"category_scores_gemma":[0.02519983,0.0003516399,0.0006124487,0.0003776455,0.001263441,0.006606262,0.008350245,0.002681373,0.006600603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005434826,"about_ca_system_score_gemma":0.001646465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002420313,"about_ca_topic_score_gemma":0.001539994,"domain_scores_codex":[0.9948598,0.003896709,0.0001188948,0.0002227386,0.0005547585,0.0003470198],"domain_scores_gemma":[0.9594157,0.03238055,0.001963526,0.001606739,0.0008057494,0.003827714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008572267,0.01280215,0.03325223,0.001698697,0.0001448078,0.004082878,0.1719643,0.001713674,0.02114464,0.02124872,0.0899387,0.6411521],"study_design_scores_gemma":[0.0005007875,0.002673667,0.0291241,0.00227359,0.0003275783,0.003378346,0.2190966,0.0180688,0.02286479,0.06132937,0.6399922,0.0003701725],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6154157,0.0006743321,0.04916996,0.01442062,0.001300635,0.001139145,0.0002785276,0.003020434,0.3145807],"genre_scores_gemma":[0.9094476,0.0006938993,0.03803942,0.001761853,0.0005523576,0.0009287141,0.0002874903,0.0002498557,0.04803881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02737973,"threshold_uncertainty_score":0.09159428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327317632253015,"score_gpt":0.5474394071562703,"score_spread":0.4147076439309688,"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."}}