{"id":"W4391599129","doi":"10.18260/1-2--43357","title":"How Diversifying / Updating the Teaching Team Has Positively Affected Teaching","year":2024,"lang":"en","type":"article","venue":"","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Team teaching; Mathematics education; Teaching method; Psychology","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":[0.01433095,0.0004121267,0.0005130111,0.0009248552,0.007842613,0.01068094,0.002285669,0.001749975,0.01366553],"category_scores_gemma":[0.07264265,0.0004326697,0.0006874255,0.0007784393,0.003469105,0.003726358,0.006976631,0.003771617,0.002173668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006771679,"about_ca_system_score_gemma":0.006661222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003346625,"about_ca_topic_score_gemma":0.005206663,"domain_scores_codex":[0.9686581,0.01841919,0.0009759671,0.002223965,0.006919834,0.002802983],"domain_scores_gemma":[0.9055232,0.03345961,0.01128888,0.005037739,0.01027491,0.03441567],"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":[0.001443011,0.005985124,0.1862646,0.0006636332,0.0002453496,0.001524892,0.1740477,0.001599605,0.005788486,0.007987565,0.05682095,0.5576292],"study_design_scores_gemma":[0.0006058671,0.007746561,0.294975,0.001986203,0.000581237,0.001635687,0.4004387,0.004211463,0.0105899,0.01603144,0.2607942,0.0004037671],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616094,0.0008336034,0.002733606,0.01402433,0.001030736,0.0001495183,0.00007334293,0.0002529116,0.01929254],"genre_scores_gemma":[0.990064,0.000276156,0.001385866,0.002210771,0.0001671173,0.000134239,0.00004061594,0.00009378188,0.005627519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01433095,"threshold_uncertainty_score":0.07579023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1389287767868549,"score_gpt":0.3823817872184787,"score_spread":0.2434530104316238,"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."}}