{"id":"W2602305839","doi":"10.24908/pceea.v0i0.6469","title":"ENGINEERS TEACHING COMMUNICATION: EVALUATING THE IMPACT OF TA TRAINING ON GRADUATE STUDENT COMMUNICATION, TEACHING AND PROFESSIONAL DEVELOPMENT","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mentorship; Credibility; Discipline; Professional development; Training (meteorology); Medical education; Engineering education; Faculty development; Graduate students; Psychology; Pedagogy; Engineering; Engineering management; Medicine; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01412094,0.0005361834,0.000513943,0.001052759,0.001525194,0.002086906,0.001209811,0.001011441,0.003309188],"category_scores_gemma":[0.04613082,0.0004224217,0.0007791831,0.0007162949,0.001260401,0.001341632,0.002305364,0.001664451,0.0008562318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002895064,"about_ca_system_score_gemma":0.005711591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002992937,"about_ca_topic_score_gemma":0.006797294,"domain_scores_codex":[0.9926078,0.00306866,0.0006158326,0.0005149966,0.001916436,0.001276304],"domain_scores_gemma":[0.9467786,0.02314706,0.007081338,0.002485252,0.008752161,0.01175551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01008988,0.08613623,0.3274625,0.001591521,0.0004763842,0.0003918183,0.07160819,0.002039833,0.00801278,0.0009199835,0.004150586,0.4871204],"study_design_scores_gemma":[0.002309589,0.1451681,0.7623951,0.0006081077,0.0007968791,0.0002628328,0.05702262,0.003533307,0.01175389,0.0009357371,0.01500771,0.0002060933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984658,0.00005795348,0.0001806888,0.0001104585,0.00002058796,0.0002253143,0.00003250843,0.000009887072,0.0008968579],"genre_scores_gemma":[0.9951143,0.0002407773,0.001907867,0.0001453838,0.00004101277,0.0009339028,0.0001158732,0.000009831807,0.001490951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01412094,"threshold_uncertainty_score":0.07467955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03310262669760679,"score_gpt":0.3263048214132614,"score_spread":0.2932021947156546,"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."}}