{"id":"W1984231426","doi":"10.1145/1711475.1714372","title":"On Developing New Models, with Paging as a Case Study","year":2010,"lang":"en","type":"article","venue":"ACM SIGACT News","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Paging; Contrast (vision); Cache; Theoretical computer science; Computation; Data science; Artificial intelligence; Algorithm; Parallel computing","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":[0.01327874,0.002746006,0.001885557,0.004768992,0.002313443,0.01140124,0.008309741,0.006566255,0.01464246],"category_scores_gemma":[0.04180233,0.001498624,0.003397502,0.006324686,0.01093225,0.02740899,0.006358724,0.01163984,0.003790543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006688314,"about_ca_system_score_gemma":0.003414461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004928293,"about_ca_topic_score_gemma":0.004563726,"domain_scores_codex":[0.985198,0.007737561,0.0009387156,0.001962542,0.0032025,0.0009607027],"domain_scores_gemma":[0.9657722,0.02339149,0.002255453,0.004339658,0.00327338,0.0009679107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001455515,0.0000376584,0.0002769918,0.0001424587,0.00001482316,0.00004611092,0.0001725546,0.01319798,0.0000908212,0.9743397,0.003788978,0.007877285],"study_design_scores_gemma":[0.00001272639,0.00004823013,0.0001421392,0.0001480935,0.00002312536,0.0001195639,0.00017342,0.08797617,0.0002177584,0.8849065,0.02619936,0.00003303243],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004204426,0.004096457,0.9421282,0.01109589,0.0006275953,0.0001742463,0.0003088259,0.0003027129,0.0370616],"genre_scores_gemma":[0.2292544,0.01444023,0.7144022,0.005886181,0.004429859,0.001590063,0.000777038,0.0009421474,0.02827787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01464246,"threshold_uncertainty_score":0.07022554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05400918196770679,"score_gpt":0.3089274411305257,"score_spread":0.2549182591628189,"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."}}