{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001919754,0.0006749591,0.0004101166,0.0004437355,0.000512477,0.0008959041,0.00103307,0.0006127952,0.003477259],"category_scores_gemma":[0.006046241,0.0004772627,0.0009565122,0.0003826405,0.001582861,0.001624361,0.001949036,0.001314253,0.0003547301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007823876,"about_ca_system_score_gemma":0.001999106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004698941,"about_ca_topic_score_gemma":0.00980872,"domain_scores_codex":[0.9985279,0.0005446956,0.0001119115,0.0002025258,0.0004581592,0.0001548144],"domain_scores_gemma":[0.9957241,0.002961086,0.0002136384,0.0006640499,0.0003291357,0.0001079149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002904212,0.0001128153,0.00150002,0.0004665339,0.0000734326,0.0007083765,0.0004530819,0.545011,0.0093802,0.3385873,0.002962554,0.1004541],"study_design_scores_gemma":[0.00004713763,0.00007959252,0.0003519729,0.00005655511,0.00004699265,0.0001241244,0.00005431947,0.7768881,0.01023196,0.2006177,0.01146816,0.00003334938],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02261206,0.0001665747,0.965916,0.0002384922,0.00005466342,0.0001121293,0.0002252965,0.002070785,0.008603849],"genre_scores_gemma":[0.5338708,0.0003010156,0.4599418,0.0001590894,0.0000282682,0.0002545932,0.0004864185,0.0003338347,0.004624189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004698941,"threshold_uncertainty_score":0.01163256,"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."}}