{"id":"W2303619701","doi":"10.1080/2331186x.2016.1160524","title":"It takes a toll on pre-service teachers and programs: Case studies of teacher candidates who withdrew from a teacher education program","year":2016,"lang":"en","type":"article","venue":"Cogent Education","topic":"Teacher Professional Development and Motivation","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"","keywords":"Bachelor; Teacher education; Narrative; Psychology; Service (business); Toll; Teacher preparation; Medical education; Pedagogy; Mathematics education; Medicine; Political science; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005685381,0.00018878,0.000207329,0.0001247996,0.0003173313,0.00005571605,0.0001424303,0.0001379211,0.0001168343],"category_scores_gemma":[0.000439891,0.0001362834,0.00003826704,0.0002781754,0.0002000016,0.0003677274,0.00003217038,0.0001124929,0.00001605514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003304807,"about_ca_system_score_gemma":0.001307331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003572567,"about_ca_topic_score_gemma":0.004994931,"domain_scores_codex":[0.9984273,0.0003196804,0.000325304,0.0003798446,0.0003049881,0.0002428629],"domain_scores_gemma":[0.9988989,0.0001373841,0.00027567,0.0001982693,0.0003494492,0.0001403151],"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":[0.00004883738,0.001307321,0.1317705,0.00003555109,0.00006910619,7.226195e-7,0.1382326,5.788526e-8,0.0003801994,0.0007450303,0.008867851,0.7185422],"study_design_scores_gemma":[0.001255713,0.0003989445,0.2092779,0.003320988,0.0002723244,0.00001434698,0.3566066,0.000008786945,0.001533641,0.004339398,0.4221129,0.0008585078],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983173,0.001156285,0.00001373562,0.009853999,0.0005596771,0.001706464,0.000004709479,0.00009433598,0.003437767],"genre_scores_gemma":[0.9805207,0.0002059198,0.001143338,0.0003434757,0.0003679037,0.001092763,0.00006240363,0.00002057557,0.01624294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7176837,"threshold_uncertainty_score":0.5557474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04708376067889233,"score_gpt":0.3814480826147478,"score_spread":0.3343643219358555,"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."}}