{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001424662,0.000111501,0.0001224494,0.0000813121,0.001821411,0.0001608709,0.0003770244,0.00009629294,0.0001343641],"category_scores_gemma":[0.0005093357,0.00009997313,0.00001896677,0.001183557,0.0001530592,0.0002901583,0.00001941974,0.0005270501,0.0003667667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001900514,"about_ca_system_score_gemma":0.0004285931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148865,"about_ca_topic_score_gemma":0.0004934385,"domain_scores_codex":[0.9982342,0.0005504157,0.000216815,0.0002825331,0.0004527004,0.0002633848],"domain_scores_gemma":[0.9988509,0.0003963288,0.0001751115,0.0001765376,0.0002328382,0.0001682585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002708558,0.0001544589,0.6122701,0.00001230856,0.00004894716,0.000002041704,0.3070414,0.02077416,0.0007570825,0.05406555,0.0009535692,0.003893355],"study_design_scores_gemma":[0.0005859721,0.0003855056,0.3424458,0.00003254751,0.00009001645,0.000003011477,0.06553417,0.0001878793,0.00006163374,0.000672203,0.5896493,0.0003519947],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460275,0.00007010944,0.006332621,0.04290767,0.0001758275,0.0008539764,0.000001536737,0.0002464447,0.003384375],"genre_scores_gemma":[0.9939981,0.00001883094,0.0003717215,0.000423813,0.0002262366,0.0001375428,0.00000742227,0.00002224845,0.004794067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5886957,"threshold_uncertainty_score":0.9994781,"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."}}