{"id":"W4251299905","doi":"10.32920/ryerson.14662323.v1","title":"Deterministic planning in incompletely known domains with local effects","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Planner; Computer science; Fragment (logic); Semantics (computer science); Knowledge base; Order (exchange); Theoretical computer science; Propositional calculus; Artificial intelligence; Programming language","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":[0.002986836,0.000692135,0.001048349,0.0009259882,0.001028738,0.002186894,0.001683877,0.001128922,0.002332905],"category_scores_gemma":[0.01128373,0.0008775665,0.001160231,0.001233759,0.002522191,0.004302423,0.002699328,0.001902934,0.0002813959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595007,"about_ca_system_score_gemma":0.002357184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01057203,"about_ca_topic_score_gemma":0.0160365,"domain_scores_codex":[0.9980413,0.0006711694,0.0001476155,0.0004382261,0.0004897557,0.0002119052],"domain_scores_gemma":[0.9931518,0.005416369,0.0003970699,0.0006141168,0.000273375,0.000147302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000293179,0.0001085579,0.001240885,0.0002432097,0.00007791036,0.0007567278,0.0005922568,0.7539719,0.004115697,0.1803572,0.0009990538,0.05724348],"study_design_scores_gemma":[0.00007210591,0.00005941275,0.0003238866,0.00003223497,0.00005593219,0.000108361,0.0001219295,0.7792302,0.004518639,0.2125446,0.002910311,0.00002244319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0673697,0.0003760412,0.9264475,0.000402391,0.00002011254,0.00009090344,0.000182661,0.00120786,0.003902869],"genre_scores_gemma":[0.6131452,0.0007499476,0.3819321,0.0001051743,0.00003946534,0.0001525873,0.0005952134,0.0001683182,0.003111833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01057203,"threshold_uncertainty_score":0.02102095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819886915608247,"score_gpt":0.2595885364370396,"score_spread":0.2413896672809571,"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."}}