{"id":"W205991341","doi":"10.5555/1218615.1218619","title":"The development of CASC","year":2002,"lang":"en","type":"article","venue":"","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Competition (biology); Set (abstract data type); Operations research; Order (exchange); Event (particle physics); Management science; Risk analysis (engineering); Software engineering; Programming language","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":[0.0001827381,0.00003316235,0.00004205817,0.00001055924,0.0001012619,0.00004436434,0.000377537,0.0000134092,0.00002252923],"category_scores_gemma":[0.000007705116,0.00001711295,0.0000167422,0.00008918178,0.00001641103,0.00004853783,0.00007537805,0.00001992276,0.0001633925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007341584,"about_ca_system_score_gemma":0.00001133709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001050973,"about_ca_topic_score_gemma":0.00004710385,"domain_scores_codex":[0.9995682,0.00001374365,0.0001229033,0.00007779379,0.0001147968,0.0001026104],"domain_scores_gemma":[0.9996799,0.00003066067,0.00003320555,0.0002077927,0.00002736726,0.00002109249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[1.511295e-7,0.00001487442,0.0002753322,0.000003811309,0.000007827475,0.000001000215,0.002278142,7.404095e-7,0.00003715717,0.565035,0.002150338,0.4301956],"study_design_scores_gemma":[0.0001665818,0.00004445844,0.00111705,0.000001336084,0.000001294438,0.00001163,0.0001776502,0.00607194,0.006927362,0.009632161,0.9757114,0.0001371186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001034929,0.0002731396,0.8518785,0.0002473759,0.0002925102,0.00007569697,9.72874e-9,0.00006662711,0.1461312],"genre_scores_gemma":[0.9752315,0.000003195935,0.01718711,0.00002551682,0.0000140258,0.000004519909,3.67897e-8,0.000001161126,0.007532981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9741965,"threshold_uncertainty_score":0.2100134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04157016436901032,"score_gpt":0.2364609753033954,"score_spread":0.194890810934385,"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."}}