{"id":"W2561731676","doi":"10.4300/jgme-d-16-00067.1","title":"<i>JGME</i> -ALiEM Hot Topics in Medical Education: Analysis of a Multimodal Online Discussion About Team-Based Learning","year":2016,"lang":"en","type":"article","venue":"Journal of Graduate Medical Education","topic":"Problem and Project Based Learning","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McMaster Divinity College","funders":"","keywords":"Medical education; Computer science; Data science; Library science; Medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004446249,0.0002786557,0.000264556,0.00247014,0.003788867,0.003097655,0.0005255155,0.001253034,0.006349984],"category_scores_gemma":[0.02088163,0.0001341227,0.0003540954,0.001655346,0.002191921,0.002327348,0.003071336,0.001149952,0.0008487287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451423,"about_ca_system_score_gemma":0.001116383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009825705,"about_ca_topic_score_gemma":0.002281682,"domain_scores_codex":[0.9969155,0.00212042,0.0001074224,0.0001876364,0.0004318762,0.0002371258],"domain_scores_gemma":[0.9721655,0.0222245,0.001833549,0.000405994,0.001489703,0.001880888],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003173477,0.0003069461,0.02785722,0.0008713229,0.00003018311,0.001827681,0.8640095,0.0001636143,0.004155983,0.002718904,0.03516759,0.06257374],"study_design_scores_gemma":[0.00002745968,0.0003324074,0.09272806,0.001131644,0.00003394551,0.0009572575,0.6858373,0.0007606364,0.002112573,0.001531387,0.2144726,0.00007477038],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568678,0.0006664026,0.003675621,0.008766804,0.0007163385,0.0003235915,0.0008705082,0.0001361021,0.02797691],"genre_scores_gemma":[0.9751993,0.0008141612,0.003977824,0.003236723,0.0009549441,0.0006376678,0.0008331749,0.0002517177,0.01409452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9955537,"threshold_uncertainty_score":0.02351433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578501093389676,"score_gpt":0.3775196659490736,"score_spread":0.3517346550151769,"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."}}