{"id":"W256918177","doi":"10.1609/icaps.v24i1.13682","title":"Non-Deterministic Planning With Conditional Effects","year":2014,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Automated Planning and Scheduling","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Planner; Soundness; Determinism; Computer science; Variety (cybernetics); Completeness (order theory); Key (lock); Extension (predicate logic); Core (optical fiber); Artificial intelligence; Programming language; Mathematics; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004282925,0.000203939,0.000212287,0.0001572567,0.0002654407,0.0003444033,0.000871462,0.00008022122,0.000003087376],"category_scores_gemma":[0.000199483,0.000145605,0.00004008196,0.0001646578,0.00008643565,0.0002965696,0.0001665117,0.0003096452,0.000004483187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002335614,"about_ca_system_score_gemma":0.00006318043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006387419,"about_ca_topic_score_gemma":9.942698e-8,"domain_scores_codex":[0.9986599,0.00001278238,0.0002507874,0.0003657457,0.0004764714,0.00023432],"domain_scores_gemma":[0.9989428,0.0002802668,0.0003193428,0.0001069161,0.0002692536,0.00008145762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003762891,0.0001813874,0.1706364,0.0007155162,0.0004332692,0.00003942277,0.006935953,0.05713987,0.06584394,0.6922817,0.001431604,0.003984716],"study_design_scores_gemma":[0.0005020753,0.0002308365,0.01306224,0.002155002,0.0000151226,0.00006756576,0.0001052282,0.9692958,0.008410775,0.005883376,0.00005617485,0.0002158076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9432272,0.00003368595,0.04112561,0.00140257,0.0003587972,0.0001666477,0.000005619062,0.0004822206,0.0131977],"genre_scores_gemma":[0.9813914,9.883356e-7,0.01813123,0.0003068482,0.00006155248,0.00001415021,0.000006319907,0.00001173075,0.0000758325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9121559,"threshold_uncertainty_score":0.59376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810893520969025,"score_gpt":0.2621770235230653,"score_spread":0.2440680883133751,"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."}}