{"id":"W2105946993","doi":"10.1017/s1471068411000391","title":"Coding guidelines for Prolog","year":2011,"lang":"en","type":"article","venue":"Theory and Practice of Logic Programming","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Prolog; Debugging; Programming language; Coding (social sciences); Normative; Documentation; Software engineering","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":[0.006903474,0.0001497121,0.0002369606,0.00006624723,0.0001762525,0.00008911722,0.0004613305,0.00009684583,0.000006852295],"category_scores_gemma":[0.004483556,0.0001123238,0.00007020676,0.0001674233,0.0001368624,0.000742174,0.0001693995,0.000103415,0.000005183942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007327535,"about_ca_system_score_gemma":0.00003569953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002466703,"about_ca_topic_score_gemma":0.000001493313,"domain_scores_codex":[0.9984192,0.0004053317,0.0003886872,0.0003338454,0.0001379386,0.0003149454],"domain_scores_gemma":[0.9972494,0.00149462,0.0004056884,0.0003354056,0.0004395188,0.00007536478],"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":[0.0001602864,0.0000724763,0.00005333835,0.00006881302,0.00003335171,0.000006577075,0.001708517,3.212736e-7,0.0001363576,0.7470669,0.00003633468,0.2506567],"study_design_scores_gemma":[0.0005766394,0.001175243,0.00003494043,0.00001753173,0.00008801596,0.0002840378,0.00205215,0.0003570153,0.001786164,0.8873134,0.1060155,0.0002994278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002831752,0.001663813,0.9821607,0.000544255,0.0002979279,0.0006422036,4.125491e-7,0.0001817217,0.01422581],"genre_scores_gemma":[0.645743,0.00005594717,0.3534732,0.0004028424,0.00008481142,0.00008629051,0.000001259114,0.000007987086,0.0001446819],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6454598,"threshold_uncertainty_score":0.5367559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1463430220138174,"score_gpt":0.3549441782571504,"score_spread":0.208601156243333,"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."}}