{"id":"W3110091335","doi":"10.4230/darts.6.2.10","title":"Blame for Null (Artifact)","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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artifact (error); Blame; Artificial intelligence; Computer science; Mathematics; Psychology; Social psychology","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":[0.0005068947,0.0004030652,0.0005229067,0.0001187534,0.0003499813,0.0007424649,0.001649518,0.0002236224,0.0000232432],"category_scores_gemma":[0.0001753529,0.0003419429,0.0003880407,0.0003459108,0.00008565195,0.001581039,0.0004199442,0.0002738666,0.0005060383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007501933,"about_ca_system_score_gemma":0.0001022114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001230888,"about_ca_topic_score_gemma":0.000007686978,"domain_scores_codex":[0.9971305,0.0000314861,0.001068191,0.0003997278,0.0004552855,0.0009148457],"domain_scores_gemma":[0.9979362,0.0001530891,0.0004572614,0.0007362278,0.0003104354,0.0004067687],"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":[0.0002969245,0.0005918848,0.00514228,0.003174159,0.0005425696,0.00001878407,0.06153403,0.0002182536,0.0003068098,0.7510648,0.07268295,0.1044265],"study_design_scores_gemma":[0.003189125,0.0008706739,0.0001231223,0.00002147552,0.00003690444,0.00003535374,0.0008775569,0.1425791,0.00187258,0.006741651,0.8429293,0.000723085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005394509,0.00006299606,0.9835178,0.001837117,0.001309977,0.002083529,0.00009395868,0.0005709591,0.005129205],"genre_scores_gemma":[0.9587566,0.00001159147,0.03536934,0.004275755,0.0005216941,0.0003337217,0.0002135935,0.00005022686,0.0004675338],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.953362,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181291388390636,"score_gpt":0.2555231901688151,"score_spread":0.2237102762849087,"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."}}