{"id":"W6967083426","doi":"10.4230/lipics.ecoop.2020.3","title":"Blame for Null","year":2020,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Blame; Java; Type (biology); Slogan; Semantics (computer science); Calculus (dental)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004828786,0.0003759067,0.0004930503,0.0001132241,0.0003247603,0.0006753646,0.001676257,0.0002131466,0.00001676841],"category_scores_gemma":[0.0001596736,0.0003189243,0.0003667358,0.000340141,0.00007895003,0.00140585,0.0004177853,0.0002547764,0.0003740079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006697728,"about_ca_system_score_gemma":0.00009425327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001059375,"about_ca_topic_score_gemma":0.000006238577,"domain_scores_codex":[0.9973422,0.00002794322,0.0009835492,0.0003739274,0.0004263654,0.0008459875],"domain_scores_gemma":[0.9980739,0.000139763,0.0004233716,0.000693961,0.000301284,0.0003677291],"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":[0.0001986985,0.0004123189,0.003382702,0.002582911,0.0003919131,0.00001339882,0.04261672,0.0001330609,0.0001522855,0.8170353,0.06669745,0.06638329],"study_design_scores_gemma":[0.00311824,0.0007961189,0.00009742118,0.00001986275,0.00003181106,0.00003436899,0.0007511571,0.1336914,0.0009922483,0.00692191,0.8529025,0.0006429317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002570133,0.00008338492,0.9854017,0.001734732,0.001335597,0.001967911,0.00009635124,0.0005324805,0.006277664],"genre_scores_gemma":[0.947018,0.00001216737,0.04622839,0.004950271,0.0006197605,0.000358247,0.0002283255,0.00005206876,0.0005327638],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9444479,"threshold_uncertainty_score":0.9999263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303602408553909,"score_gpt":0.2538281980936288,"score_spread":0.2234679572382379,"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."}}