{"id":"W2556346428","doi":"10.1145/3009837.3009865","title":"Sums of uncertainty: refinements go gradual","year":2016,"lang":"en","type":"article","venue":"","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Programming language; Property (philosophy); Pattern matching; Type (biology); Matching (statistics); Functional programming; Theoretical computer science; Algorithm; Mathematics","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":[0.009407785,0.0008253531,0.001366145,0.002957055,0.004115577,0.007474501,0.002331786,0.002750476,0.0151006],"category_scores_gemma":[0.0591572,0.00159702,0.002257291,0.00176127,0.01489776,0.0249198,0.01108674,0.006579279,0.001659965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003395862,"about_ca_system_score_gemma":0.002160851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004356109,"about_ca_topic_score_gemma":0.003612822,"domain_scores_codex":[0.991644,0.001940943,0.0005559932,0.002196493,0.002778256,0.0008843442],"domain_scores_gemma":[0.9645097,0.02000382,0.002383406,0.007642209,0.004127531,0.001333339],"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":[0.00003492186,0.000006367748,0.0003585209,0.00004880294,0.00002633555,0.0001323786,0.0004452319,0.003579255,0.0002579459,0.9873372,0.001487757,0.006285354],"study_design_scores_gemma":[0.000007548893,0.00000667185,0.00009840549,0.00002656045,0.00001403361,0.00004681681,0.00009228511,0.00492605,0.000213085,0.9887841,0.005768197,0.00001616841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05874664,0.003147159,0.807602,0.01249601,0.0007607986,0.0001651484,0.0006780837,0.00198953,0.1144147],"genre_scores_gemma":[0.8276795,0.001941785,0.132645,0.002653434,0.0008235868,0.0002991451,0.0004496713,0.001302783,0.03220511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0151006,"threshold_uncertainty_score":0.05051655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203856205782074,"score_gpt":0.2593550971052258,"score_spread":0.2273165350474051,"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."}}