{"id":"W4399765924","doi":"10.32920/26052505","title":"Action Schema Networks for Numerical Planning","year":2024,"lang":"en","type":"preprint","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Schema (genetic algorithms); Computer science; Action (physics); Information retrieval; Physics","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":[0.0007324392,0.0005395262,0.0002995966,0.00055306,0.0003497871,0.0008236204,0.0009261029,0.0007738707,0.007098875],"category_scores_gemma":[0.004117818,0.0003487412,0.0005818684,0.0006326037,0.001005734,0.00172145,0.0008719495,0.001911209,0.0007654494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139595,"about_ca_system_score_gemma":0.001196198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00585602,"about_ca_topic_score_gemma":0.00829032,"domain_scores_codex":[0.999678,0.0001050487,0.00002399989,0.00008745586,0.00008566434,0.00001990156],"domain_scores_gemma":[0.9988117,0.0007388764,0.00009476039,0.0001661418,0.0001445782,0.00004396131],"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":[0.00005152994,0.00004775204,0.0005934577,0.0001671739,0.00003496473,0.00004904218,0.00009004766,0.7040381,0.001883626,0.1464663,0.003499354,0.1430786],"study_design_scores_gemma":[0.000006168347,0.0000107689,0.0000791874,0.00001957151,0.000005417853,0.00001272063,0.000009353277,0.9156381,0.0007038208,0.08036729,0.003143522,0.000004023132],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006885681,0.0003393776,0.9849415,0.0005306802,0.00005947526,0.00006791575,0.0002415587,0.0007932418,0.006140525],"genre_scores_gemma":[0.3164135,0.0008740585,0.674189,0.0003563249,0.0000708452,0.0004876576,0.001007088,0.0002060922,0.006395444],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007098875,"threshold_uncertainty_score":0.02374816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0642682084180113,"score_gpt":0.3307863732966312,"score_spread":0.2665181648786199,"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."}}