{"id":"W4292846258","doi":"10.3102/1444498","title":"Collaborate, Learn, and Succeed: Increasing Student Success Through Leadership Development and Collaborative Practices","year":2019,"lang":"en","type":"article","venue":"Proceedings of the 2019 AERA Annual Meeting","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Lucie and André Chagnon Foundation; Université de Montréal","funders":"","keywords":"Knowledge management; Leadership development; Computer science; Public relations; Mathematics education; Psychology; Political science","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":[0.002653339,0.000162737,0.0002478179,0.0000529682,0.0007737256,0.0003683422,0.0003250392,0.0001050353,0.00002505429],"category_scores_gemma":[0.002241344,0.000129698,0.00001947632,0.0006091861,0.0003453706,0.0009474962,0.0002229823,0.0002173546,0.00001069947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081959,"about_ca_system_score_gemma":0.000416896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000508384,"about_ca_topic_score_gemma":0.0001026686,"domain_scores_codex":[0.9982162,0.0001045997,0.0003458385,0.0003371837,0.0006337434,0.0003624398],"domain_scores_gemma":[0.9977194,0.0004578189,0.0005433201,0.00005811957,0.001116481,0.0001048449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007521297,0.000112537,0.5419851,0.0002449111,0.0000749922,2.742053e-7,0.4106772,0.000001156901,0.0022775,0.04213375,0.001126128,0.001291294],"study_design_scores_gemma":[0.0005835294,0.00007519556,0.1060479,0.0008837276,0.00004868571,0.000004383749,0.7985581,0.000003246476,0.01007844,0.001342713,0.08193655,0.0004375977],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559474,0.0007551917,4.006027e-7,0.009804791,0.0003026181,0.000529605,0.000003562891,0.00003954235,0.03261688],"genre_scores_gemma":[0.9905247,0.0001774628,0.006232898,0.0005793993,0.00009914961,0.00001625937,8.699536e-7,0.00001502371,0.002354207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4359372,"threshold_uncertainty_score":0.595095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03608274003737193,"score_gpt":0.3384729327087443,"score_spread":0.3023901926713723,"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."}}