{"id":"W4312826258","doi":"10.1609/socs.v2i1.18189","title":"State-Set Search","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Abstraction; Set (abstract data type); State (computer science); State space; Computer science; Domain (mathematical analysis); Theoretical computer science; Space (punctuation); Abstraction model checking; Algorithm; Mathematics; Model checking; Programming language","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":[0.002458746,0.0007908254,0.001191785,0.001412677,0.001241604,0.003343522,0.002331001,0.001475144,0.01270828],"category_scores_gemma":[0.0128013,0.0005236664,0.001401337,0.001555169,0.002453581,0.006235897,0.00492397,0.001854115,0.001835878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190994,"about_ca_system_score_gemma":0.002563053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002682915,"about_ca_topic_score_gemma":0.002507186,"domain_scores_codex":[0.9969692,0.00086014,0.000242578,0.0007493855,0.0008857316,0.0002930495],"domain_scores_gemma":[0.9939682,0.003376629,0.0003155572,0.00153636,0.0006047963,0.0001984641],"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":[0.0003536551,0.0001736498,0.00260554,0.0004380313,0.0001512869,0.0001227003,0.0005793671,0.1560616,0.00538163,0.6098693,0.006055389,0.2182079],"study_design_scores_gemma":[0.00005138257,0.0001687428,0.0005361445,0.00008591021,0.00007101771,0.0001225993,0.0001949486,0.4871783,0.008485792,0.4842967,0.01875585,0.00005262762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02557705,0.0004960725,0.953606,0.0003885448,0.0000801608,0.0002239789,0.0003930607,0.00179906,0.01743602],"genre_scores_gemma":[0.5135889,0.0004009548,0.4775227,0.0002886884,0.00003877186,0.000332201,0.001195985,0.0004366608,0.006195085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01270828,"threshold_uncertainty_score":0.04251343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110703944093761,"score_gpt":0.2701204341111972,"score_spread":0.2490133946702596,"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."}}