{"id":"W1953189263","doi":"10.1184/r1/6609317","title":"Search Reduction in Planning with Primary Effects","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Iran Telecommunication Research Center; Carnegie Mellon University","keywords":"Reduction (mathematics); Primary (astronomy); Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001535841,0.0009603382,0.0006563625,0.0008643841,0.0005096901,0.0008347359,0.001183525,0.0005477549,0.008096131],"category_scores_gemma":[0.00874994,0.0005644048,0.001322441,0.0006983485,0.001323917,0.001825258,0.002235768,0.001717369,0.0006676717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026373,"about_ca_system_score_gemma":0.001497808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003319439,"about_ca_topic_score_gemma":0.007349809,"domain_scores_codex":[0.9986733,0.0005400096,0.00005566431,0.0001921458,0.0003609864,0.0001778559],"domain_scores_gemma":[0.9926461,0.005606698,0.0002675693,0.001023286,0.0002932246,0.000163165],"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":[0.0007900433,0.0002814172,0.00303075,0.0008487378,0.0001227283,0.000288552,0.000560364,0.5006799,0.01687494,0.06957031,0.006161346,0.4007908],"study_design_scores_gemma":[0.0001425319,0.0003636021,0.001740068,0.00007706683,0.0001460289,0.0001769725,0.0001484573,0.8530831,0.015792,0.1201506,0.008142977,0.00003658658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06610955,0.0005426744,0.9168556,0.0003604094,0.00004062201,0.000220378,0.0002359176,0.003059627,0.01257534],"genre_scores_gemma":[0.5229741,0.0002646291,0.4730942,0.000130051,0.00001558286,0.0002278204,0.000332839,0.0003561282,0.002604611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008096131,"threshold_uncertainty_score":0.02708423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03140004144621769,"score_gpt":0.2631977807183113,"score_spread":0.2317977392720936,"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."}}