{"id":"W2990265076","doi":"10.5539/hes.v10n1p29","title":"Research Synthesis of Meta-Analyses of Preservice Teacher Preparation Practices in Higher Education","year":2019,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Connecticut; U.S. Department of Education","keywords":"Psychology; Coaching; Experiential learning; Teacher education; Teacher preparation; Meta-analysis; Mathematics education; Best practice; Higher education; Teaching method; Pedagogy; Medical education; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06350406,0.005736385,0.02503019,0.0195971,0.00120967,0.005461895,0.003991414,0.003220538,0.005843314],"category_scores_gemma":[0.2019707,0.003111862,0.05931335,0.01584371,0.001200076,0.004151583,0.002934554,0.003141771,0.0006488239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007295028,"about_ca_system_score_gemma":0.008323628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008109306,"about_ca_topic_score_gemma":0.01565027,"domain_scores_codex":[0.946699,0.02216202,0.0209502,0.00426249,0.00516844,0.000757811],"domain_scores_gemma":[0.8886694,0.08454985,0.01360982,0.004539482,0.008022484,0.0006090154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001102079,0.0000213074,0.002195082,0.5144013,0.4633295,0.0001782862,0.0002047387,0.0006817477,0.0002899621,0.0002562924,0.001040562,0.01629924],"study_design_scores_gemma":[0.0004522947,0.0001844464,0.002901061,0.06307711,0.9292131,0.0001031251,0.000107732,0.0001375147,0.0003669755,0.0004788713,0.002941744,0.00003603322],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008078154,0.9716668,0.007727469,0.0008298583,0.00094901,0.004466102,0.00511334,0.0002502544,0.0009190395],"genre_scores_gemma":[0.2126021,0.7170909,0.03228429,0.00223202,0.0007641625,0.02857856,0.004984316,0.0002692451,0.001194479],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06350406,"threshold_uncertainty_score":0.3358455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7755622724434843,"score_gpt":0.6325591672003126,"score_spread":0.1430031052431717,"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."}}