{"id":"W2066622718","doi":"10.1145/2676723.2677273","title":"Drop, Fail, Pass, Continue","year":2015,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Drop out; Attrition; Drop (telecommunication); Mathematics education; Significant difference; Psychology; Medical education; Computer science; Mathematics; Demographic economics; Economics; Medicine; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004941173,0.0004063778,0.0005593158,0.003582583,0.001164858,0.001966139,0.001075568,0.0007587586,0.01094644],"category_scores_gemma":[0.0306333,0.0002013713,0.001038875,0.00243519,0.001261491,0.001438214,0.002328948,0.001769163,0.002516456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144792,"about_ca_system_score_gemma":0.001049444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005609656,"about_ca_topic_score_gemma":0.01019968,"domain_scores_codex":[0.9944834,0.0009577401,0.0005291295,0.0004492713,0.002629109,0.0009513243],"domain_scores_gemma":[0.9621513,0.01041549,0.01694813,0.001712936,0.003602937,0.005169074],"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":[0.0002210688,0.0001849062,0.9796229,0.00003028825,0.00004514322,0.0000571953,0.0004461251,0.0001753332,0.0001172695,0.0002301803,0.001031406,0.01783817],"study_design_scores_gemma":[0.000007104193,0.0002807351,0.9969507,0.00001473683,0.00001494736,0.00007529023,0.0007806007,0.0002881739,0.0002018431,0.0002163394,0.001156778,0.00001275992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902149,0.0001997201,0.0007940979,0.0003405833,0.00003623746,0.0001177993,0.001400576,0.00007693993,0.006819156],"genre_scores_gemma":[0.9933789,0.0001572532,0.0004854518,0.0001000246,0.00004359345,0.000126999,0.001359136,0.00002760018,0.004320983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01094644,"threshold_uncertainty_score":0.03661954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03814679864704839,"score_gpt":0.2547468480416692,"score_spread":0.2166000493946208,"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."}}