{"id":"W2904074542","doi":"10.3386/w22630","title":"Student Coaching: How Far Can Technology Go?","year":2016,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Coaching Methods and Impact","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"University of Toronto; Canadian Institute for Advanced Research; City University of New York","keywords":"Coaching; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01427363,0.001057128,0.00149278,0.001757309,0.001734872,0.008857928,0.002240544,0.005235652,0.01787319],"category_scores_gemma":[0.05815246,0.000386112,0.0009822237,0.001976466,0.003977871,0.01521222,0.003376643,0.004286291,0.004320384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340356,"about_ca_system_score_gemma":0.004243295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006788646,"about_ca_topic_score_gemma":0.00762007,"domain_scores_codex":[0.9929723,0.00428629,0.0003353893,0.0006487709,0.001336712,0.0004205737],"domain_scores_gemma":[0.9508844,0.03835968,0.001633021,0.001637215,0.004901344,0.00258443],"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":[0.0005443071,0.0005579568,0.00824842,0.004312779,0.0001923189,0.0001349084,0.002072744,0.0004179864,0.0004020915,0.01873721,0.0333646,0.9310148],"study_design_scores_gemma":[0.000571537,0.004524929,0.04423051,0.05499411,0.001198716,0.00108727,0.02720831,0.002487429,0.002533831,0.1664724,0.6942298,0.0004610988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03088701,0.3382471,0.01091174,0.5631974,0.006473142,0.0004498696,0.0004448532,0.0004635952,0.04892528],"genre_scores_gemma":[0.3204572,0.5215299,0.03657548,0.09484525,0.007381613,0.001608023,0.0006209338,0.0002481178,0.01673361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01787319,"threshold_uncertainty_score":0.07548708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3794307509917196,"score_gpt":0.5885986319284654,"score_spread":0.2091678809367458,"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."}}