{"id":"W3144091001","doi":"10.36834/cmej.71155","title":"Instagram as a virtual art display for medical students","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Humanities; Coronavirus disease 2019 (COVID-19); Art; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005958661,0.0006997725,0.0003139719,0.0006654644,0.002331229,0.005723356,0.002373199,0.003329549,0.2352153],"category_scores_gemma":[0.04281977,0.0003177056,0.0009914034,0.0007055599,0.00158771,0.005126549,0.007043147,0.002986001,0.05137074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205313,"about_ca_system_score_gemma":0.003893345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007828973,"about_ca_topic_score_gemma":0.001829179,"domain_scores_codex":[0.9928305,0.004244155,0.000266242,0.0003426375,0.001547709,0.0007687565],"domain_scores_gemma":[0.9733795,0.01067885,0.00245399,0.003035927,0.003218917,0.007232713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007467194,0.0005355427,0.005016784,0.0008446902,0.00002487366,0.0006228166,0.003427116,0.0004381991,0.002493026,0.01061607,0.7607784,0.2144556],"study_design_scores_gemma":[0.0001882058,0.0006157954,0.004583956,0.0006989242,0.00005149358,0.0008050282,0.005563395,0.001317907,0.003092036,0.005072867,0.9778963,0.0001141331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08014051,0.002201951,0.03402948,0.4072431,0.02106842,0.001725066,0.006144055,0.02136562,0.4260817],"genre_scores_gemma":[0.5497636,0.003562933,0.06579078,0.07588419,0.008944319,0.004794493,0.002088004,0.00275356,0.2864182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2352153,"threshold_uncertainty_score":0.7868736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443573298378177,"score_gpt":0.4445901466171327,"score_spread":0.4101544136333509,"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."}}