{"id":"W2892212751","doi":"10.1016/j.jebo.2020.01.009","title":"Improving non-academic student outcomes using online and text-message coaching","year":2020,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Mary's University; University of Waterloo; York University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Coaching; Warrant; Psychological intervention; Feeling; Sample (material); Medical education; Psychology; Computer science; Social psychology; Medicine; Finance; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007510161,0.0003682016,0.0005469223,0.0005667736,0.0004789134,0.0007402612,0.0004476131,0.0006255744,0.01539157],"category_scores_gemma":[0.003107151,0.0001035741,0.0004185387,0.000333383,0.0001352809,0.0004154692,0.0007444755,0.0007885608,0.001946496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002931673,"about_ca_system_score_gemma":0.0009335962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163883,"about_ca_topic_score_gemma":0.001816006,"domain_scores_codex":[0.9994893,0.0001207317,0.00003577293,0.0001031238,0.00012028,0.0001308363],"domain_scores_gemma":[0.9984404,0.0004279204,0.0002104658,0.00007672497,0.0001676675,0.0006768218],"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":[0.01409713,0.1886482,0.02326414,0.0004664048,0.0002355209,0.00008690728,0.0005570514,0.0006651432,0.007125432,0.0001745157,0.003570355,0.7611092],"study_design_scores_gemma":[0.01437989,0.2062745,0.7166727,0.001014861,0.001982549,0.000481622,0.003210077,0.01370023,0.02748425,0.002135513,0.0125052,0.0001585004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954092,0.0001599494,0.0006144418,0.0002285962,0.0001153792,0.0002012804,0.00007439203,0.0001232012,0.003073541],"genre_scores_gemma":[0.9893652,0.0002429722,0.0021585,0.0002022501,0.00008264476,0.000335791,0.0001233137,0.00002045658,0.007468835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01539157,"threshold_uncertainty_score":0.05148989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05433574841934284,"score_gpt":0.4119208675525586,"score_spread":0.3575851191332157,"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."}}