{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002220926,0.00007344958,0.0001166433,0.00004137907,0.00002929144,0.00002663667,0.0004828769,0.00003234856,0.00005488561],"category_scores_gemma":[0.00002433395,0.00003805833,0.00004564764,0.000137636,0.0000385975,0.0001434528,0.0001410246,0.00002064751,0.0001990131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001785968,"about_ca_system_score_gemma":0.00002951303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002261199,"about_ca_topic_score_gemma":0.00006285625,"domain_scores_codex":[0.9991822,0.00003204758,0.000185774,0.0002029237,0.0002092014,0.0001878061],"domain_scores_gemma":[0.999378,0.00004271516,0.00007478864,0.0003854442,0.00006608244,0.00005297548],"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":[0.000002275886,0.00002978671,0.003554013,0.000008882272,0.00001515896,0.000002402929,0.0001196205,5.707038e-7,0.001582739,0.8725226,0.004280424,0.1178816],"study_design_scores_gemma":[0.003714963,0.001230447,0.007783892,0.00004224526,0.00002093841,0.00003927633,0.0001409723,0.001717829,0.03851096,0.2282389,0.7176298,0.0009298176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01495309,0.00007881052,0.917591,0.001278288,0.0008383538,0.0001848452,7.608887e-7,0.0002284953,0.06484639],"genre_scores_gemma":[0.9884824,0.000005738598,0.001727827,0.00008094205,0.00004142725,0.000006398626,4.939059e-7,0.000003220582,0.009651621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9735292,"threshold_uncertainty_score":0.2557977,"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."}}