{"id":"W3042122359","doi":"10.24963/ijcai.2020/749","title":"GenC: A Fast Tool for Applications Involving Belief Revision","year":2020,"lang":"en","type":"article","venue":"","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Solver; Class (philosophy); Belief revision; Computer science; Problem solver; Hamming distance; Similarity (geometry); Artificial intelligence; Variety (cybernetics); Theoretical computer science; Component (thermodynamics); Algorithm; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003708939,0.002200915,0.001352504,0.002571812,0.0009397608,0.002852252,0.004954951,0.00243118,0.04827677],"category_scores_gemma":[0.01732253,0.001556314,0.001949429,0.002032532,0.001315731,0.004537204,0.00419557,0.003438254,0.01355226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655155,"about_ca_system_score_gemma":0.002431537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003279989,"about_ca_topic_score_gemma":0.004760255,"domain_scores_codex":[0.997612,0.0005878884,0.0001917183,0.0003992051,0.001007267,0.0002019703],"domain_scores_gemma":[0.9895386,0.007261693,0.0004037845,0.001490508,0.001096904,0.0002085426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001125103,0.0002449307,0.003250155,0.0018975,0.0003034475,0.001453817,0.0007934972,0.04176259,0.009133981,0.1034737,0.3747012,0.4618601],"study_design_scores_gemma":[0.0006364827,0.0001273518,0.0009392234,0.0004094355,0.0001014623,0.00121735,0.0001483958,0.5725724,0.02955159,0.1321967,0.2618697,0.0002299417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001937669,0.0002832771,0.725299,0.0003101185,0.0001592578,0.0002072173,0.002101613,0.2632651,0.006436685],"genre_scores_gemma":[0.07365288,0.0005849159,0.858842,0.00105433,0.0001380727,0.0009983123,0.00664772,0.04908631,0.008995403],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04827677,"threshold_uncertainty_score":0.1615019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821472393338731,"score_gpt":0.2579864000941247,"score_spread":0.2297716761607374,"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."}}