{"id":"W2919381832","doi":"","title":"Graphics programming in elm develops math knowledge & social cohesion.","year":2018,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Cohesion (chemistry); Computer science; Graphics; Computer graphics (images)","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":[0.002343466,0.0001957569,0.0003576879,0.0002461975,0.001251067,0.0001334988,0.001203396,0.00007759308,0.000001115446],"category_scores_gemma":[0.00322223,0.0001381083,0.0000746527,0.002738229,0.0009045472,0.0002084344,0.000665053,0.0005407154,0.00000864627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002135148,"about_ca_system_score_gemma":0.0006280217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005651394,"about_ca_topic_score_gemma":0.0004102519,"domain_scores_codex":[0.9971269,0.0007802353,0.0003510436,0.0005210819,0.000540562,0.0006801682],"domain_scores_gemma":[0.9941204,0.001079996,0.0001960409,0.0003917034,0.004150354,0.00006154953],"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":[0.0001723606,0.0002958024,0.0008212008,0.0001483223,0.00008481684,0.000002092032,0.06070764,0.0000263765,0.0003869433,0.4266667,0.001048326,0.5096394],"study_design_scores_gemma":[0.004429877,0.002765717,0.005539498,0.002580568,0.00002362069,0.000001820121,0.07784419,0.006039546,0.02633185,0.02156688,0.8518384,0.001038112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7882158,0.008670521,0.107103,0.06618502,0.006351825,0.01745565,0.0001084178,0.0009859164,0.004923847],"genre_scores_gemma":[0.9707285,0.00008842027,0.02789819,0.00002202214,0.00008596974,0.0002272325,0.000001265453,0.00001520689,0.0009332459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.85079,"threshold_uncertainty_score":0.9622321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1599940838556084,"score_gpt":0.4431933380915269,"score_spread":0.2831992542359186,"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."}}