{"id":"W2915975654","doi":"10.1145/3287324.3287392","title":"Can You Teach Me To Machine Learn?","year":2019,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reputation; Domain (mathematical analysis); Computer science; Mathematics education; Work (physics); Psychology; Engineering; Mathematics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004640137,0.0001013353,0.0001131683,0.0000897033,0.00009557358,0.0001906695,0.0007069248,0.00003447679,0.00009490974],"category_scores_gemma":[0.00004747574,0.00008304736,0.00004296654,0.0002318188,0.000006618838,0.0001163847,0.0002467652,0.000279899,0.001176816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002845617,"about_ca_system_score_gemma":0.00002616034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008928484,"about_ca_topic_score_gemma":0.00005242774,"domain_scores_codex":[0.9989561,0.00007742232,0.0001096825,0.0003554186,0.0002050851,0.0002962711],"domain_scores_gemma":[0.9992473,0.00003849739,0.00002674768,0.0005354368,0.00001947341,0.0001325725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002811524,0.00004819677,0.02573317,0.000007909167,0.0000120964,0.000005438089,0.004869265,0.0007594194,0.0004601908,0.03628505,0.001588317,0.9302281],"study_design_scores_gemma":[0.0002961495,0.0002988707,0.007515678,0.00001727287,0.000003036483,0.00002208071,0.0001550758,0.01572695,0.0002142679,0.0001521631,0.9752567,0.0003417395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2479258,0.0001006115,0.6965797,0.02425792,0.001058794,0.0003847079,7.800194e-7,0.002009366,0.02768231],"genre_scores_gemma":[0.848977,3.192843e-7,0.1064645,0.0008555772,0.00003788795,0.000003966999,0.000001312171,0.000009276492,0.04365013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9736684,"threshold_uncertainty_score":0.9996009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016087909704,"score_gpt":0.2464231554901059,"score_spread":0.2362622763930659,"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."}}