{"id":"W19569333","doi":"10.1021/es900162n","title":"2006 Survey Results for CS1310: Introduction to Programming Using Media Computation","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computation; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023529,0.0001402384,0.0001166643,0.0006091422,0.0001748008,0.00002718021,0.0002378254,0.00009837167,0.000003011039],"category_scores_gemma":[0.0001745019,0.0001627506,0.00001922576,0.001059028,0.0003096728,0.0001872749,0.00009263476,0.0001533067,0.00002267498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007169472,"about_ca_system_score_gemma":0.000007072182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001422116,"about_ca_topic_score_gemma":0.00001509818,"domain_scores_codex":[0.9986331,0.000006289832,0.0002528787,0.0003668237,0.0002261938,0.0005146817],"domain_scores_gemma":[0.9996271,0.00005362272,0.00003638296,0.0001836136,0.000008886692,0.00009036472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001311966,0.00001921426,0.001926416,0.00000331157,0.000003297323,0.000001186464,0.0002002143,0.2612894,0.7114737,0.00003462706,0.00005199593,0.02498355],"study_design_scores_gemma":[0.0005150904,0.0002045409,0.04066778,0.00001597458,0.000007286816,0.0000372575,0.0008324392,0.09457197,0.850769,0.00004762805,0.01185284,0.0004781308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7596546,0.00006209167,0.2388427,0.0000622931,0.0006034882,0.0003024465,0.00001537748,0.000409768,0.00004726832],"genre_scores_gemma":[0.9035822,0.000002222812,0.09618664,0.00000673591,0.0001377922,0.00001635695,0.00003357351,0.00002516106,0.000009385066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1667174,"threshold_uncertainty_score":0.6636778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009698982428784832,"score_gpt":0.2482107072163792,"score_spread":0.2385117247875943,"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."}}