{"id":"W4246313780","doi":"10.1145/2544174.2500603","title":"Calculating threesomes, with blame","year":2013,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Blame; Computer science; Coercion (linguistics); Subtyping; Construct (python library); Semantics (computer science); Computer security; Programming language; Theoretical computer science; Algorithm; Psychology; Social psychology; Linguistics","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":[0.0001746609,0.0001430507,0.000162609,0.00005131501,0.0001326357,0.0004825078,0.001240961,0.00005636486,0.00004991081],"category_scores_gemma":[0.00007198138,0.00009401041,0.00003231141,0.0002169018,0.00004665657,0.000649159,0.0002609498,0.0001044283,0.0005962563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001460106,"about_ca_system_score_gemma":0.00003069546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009408037,"about_ca_topic_score_gemma":0.0001484018,"domain_scores_codex":[0.9988259,0.00004334437,0.0001706974,0.0003271452,0.0002947179,0.0003382048],"domain_scores_gemma":[0.9987535,0.0001787468,0.0001265218,0.0007674832,0.00007264091,0.0001011361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001158478,0.0002017479,0.2274429,0.0002108129,0.0002070437,0.0001792827,0.007413785,0.0005651091,0.001296967,0.5366139,0.005569103,0.2202878],"study_design_scores_gemma":[0.00539874,0.003586716,0.4351028,0.0001969116,0.0001842748,0.0005456069,0.003004813,0.1749995,0.006000975,0.203192,0.1624637,0.005323931],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5695023,0.001259603,0.3645602,0.004009301,0.001504128,0.001584764,0.000001563342,0.001714298,0.0558639],"genre_scores_gemma":[0.9791216,0.000001423464,0.01999054,0.0002551477,0.000139922,0.00002718837,0.000002906071,0.000009808485,0.0004514611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4096193,"threshold_uncertainty_score":0.7663868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240270719704156,"score_gpt":0.2353946206387432,"score_spread":0.2129919134417016,"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."}}