{"id":"W348311609","doi":"","title":"Effective Programmatic Tutor Training for Interprofessional Problem-Based Learning","year":2010,"lang":"en","type":"article","venue":"The journal of faculty development","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TUTOR; Interprofessional education; Medical education; Government (linguistics); Problem-based learning; Program evaluation; Psychology; Health care; Faculty development; Training (meteorology); Professional development; Medicine; Pedagogy; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003151999,0.0001932153,0.0002950588,0.0001551289,0.001358352,0.0000251466,0.0003132846,0.0001773731,0.0002396476],"category_scores_gemma":[0.0003825903,0.0001150046,0.00009943961,0.0002352911,0.00005993771,0.0001470615,0.00005070265,0.001529119,0.00005979506],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437286,"about_ca_system_score_gemma":0.006593384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008668053,"about_ca_topic_score_gemma":0.0002097664,"domain_scores_codex":[0.997504,0.0004627371,0.001010547,0.0001448616,0.0004883522,0.000389496],"domain_scores_gemma":[0.9963515,0.001013385,0.001019963,0.0001101737,0.001353654,0.0001513364],"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":[0.00813632,0.001274566,0.05021557,0.001538686,0.0006987994,0.000009255906,0.3569762,0.0005859424,0.05321188,0.004090454,0.0358043,0.4874581],"study_design_scores_gemma":[0.00633062,0.0008659782,0.09969418,0.003272128,0.0001357022,0.00003723928,0.06107625,0.002722782,0.002408032,0.001827186,0.8209477,0.0006822104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528173,0.00001705368,0.03586097,0.004127009,0.003902833,0.002625483,0.000007569024,0.00004838972,0.0005934067],"genre_scores_gemma":[0.9193898,3.982336e-7,0.07493883,0.0007976097,0.0004281059,0.0007750808,0.00006270514,0.00002773829,0.003579766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7851434,"threshold_uncertainty_score":0.9999418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04353380603232057,"score_gpt":0.4277973305209457,"score_spread":0.3842635244886251,"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."}}