{"id":"W1584060135","doi":"","title":"Cohort Based Learning: Application to Learning Organizations and Student Academic Success.","year":2004,"lang":"en","type":"article","venue":"The College Quarterly","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Cooperative learning; Experiential learning; Social learning; Active learning (machine learning); Cohort; Higher education; Collaborative learning; Learning sciences; Open learning; Pedagogy; Mathematics education; Adult education; Professional learning community; Teaching method; Computer science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01411688,0.0004785531,0.0004836893,0.003438141,0.002727456,0.005769761,0.001296721,0.0009818821,0.01019579],"category_scores_gemma":[0.04213102,0.0001872365,0.0007866945,0.00459302,0.002977221,0.00438676,0.005427994,0.001848526,0.0003746736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004184288,"about_ca_system_score_gemma":0.005182134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548496,"about_ca_topic_score_gemma":0.01846575,"domain_scores_codex":[0.9964198,0.002541977,0.0001068815,0.0002590907,0.0005018473,0.0001703369],"domain_scores_gemma":[0.950084,0.03748509,0.003291349,0.001717638,0.002451868,0.00497014],"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":[0.0002002432,0.001250732,0.287714,0.0004016006,0.0002125746,0.0004609023,0.02713136,0.001935047,0.0001042196,0.1697581,0.01727588,0.4935553],"study_design_scores_gemma":[0.0001659493,0.001384167,0.446887,0.002160392,0.0004622678,0.0006958883,0.07480788,0.0391704,0.000450022,0.352712,0.0808423,0.0002616755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7627186,0.008987904,0.05703859,0.03901835,0.001446827,0.001222813,0.001082444,0.000471775,0.1280126],"genre_scores_gemma":[0.9802077,0.002502872,0.01296616,0.0002894791,0.0002581055,0.000459095,0.0001887364,0.00002649398,0.003101307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548496,"threshold_uncertainty_score":0.0746581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009844620823567289,"score_gpt":0.3425796004567619,"score_spread":0.3327349796331946,"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."}}