{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001214328,0.00008305154,0.0001045155,0.00002220466,0.0001623669,0.0001279026,0.0005982897,0.00003709652,0.00003339488],"category_scores_gemma":[0.00008528793,0.00006641313,0.00006772451,0.0002763202,0.00001370859,0.0002293389,0.0002329573,0.00005268623,0.0002299038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001567232,"about_ca_system_score_gemma":0.00004320893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003110218,"about_ca_topic_score_gemma":0.000002695683,"domain_scores_codex":[0.9992358,0.00001383173,0.000149297,0.0003306815,0.00009759147,0.0001727981],"domain_scores_gemma":[0.9993961,0.00008308079,0.00004346759,0.0002888235,0.00009293178,0.00009557505],"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":[0.000002327105,0.00004338558,0.0002650788,0.00006078577,0.000007458512,7.317802e-7,0.00145683,0.00001195619,0.001815569,0.7792253,0.0179426,0.1991679],"study_design_scores_gemma":[0.0005008119,0.0002231843,0.0005060122,0.00002539104,0.00001205022,0.000004990138,0.0001011334,0.2409814,0.003137178,0.01066099,0.7434493,0.0003975178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002989725,0.0003731208,0.9843392,0.001837959,0.00005542063,0.0004365144,0.000001472147,0.0002465409,0.01241076],"genre_scores_gemma":[0.5367,0.0001178323,0.4542083,0.005254474,0.0007292451,0.0002910571,0.00001178307,0.0000185766,0.002668835],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7685643,"threshold_uncertainty_score":0.2955025,"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."}}