{"id":"W2400703308","doi":"10.1609/socs.v3i1.18241","title":"Are We There Yet? — Estimating Search Progress","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Incremental heuristic search; Beam search; Heuristic; Best-first search; Iterative deepening depth-first search; Bidirectional search; Search algorithm; Computer science; Focus (optics); Path (computing); Mathematical optimization; Beam stack search; Search problem; Algorithm; Mathematics; Artificial intelligence","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":[0.005174892,0.0008426998,0.001100658,0.002024318,0.0007256742,0.003199699,0.001454316,0.001446468,0.002529855],"category_scores_gemma":[0.06197331,0.0005696532,0.0006222836,0.002362667,0.001544713,0.01112899,0.001264817,0.002051058,0.001245294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214177,"about_ca_system_score_gemma":0.002219777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005911711,"about_ca_topic_score_gemma":0.0040894,"domain_scores_codex":[0.9959795,0.001618193,0.0002249823,0.0009716988,0.0009862387,0.0002192669],"domain_scores_gemma":[0.9721757,0.01871857,0.002613193,0.003056389,0.002990122,0.0004459856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004743788,0.0001240288,0.04094637,0.0004366758,0.000216125,0.00008166935,0.0007466846,0.2607928,0.002509635,0.08862467,0.006140559,0.5989065],"study_design_scores_gemma":[0.00004572927,0.0003685601,0.009227436,0.0004295609,0.00009304061,0.0002220478,0.0007303834,0.8082284,0.005478476,0.1547682,0.02029533,0.0001127687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08777818,0.004469759,0.8957316,0.002712093,0.0001526432,0.0001003862,0.00066724,0.001244306,0.007143761],"genre_scores_gemma":[0.6899663,0.002820283,0.3026637,0.0002872979,0.0001450887,0.0001726494,0.001054531,0.0003366509,0.002553503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005911711,"threshold_uncertainty_score":0.02736777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905911484794281,"score_gpt":0.288302032702786,"score_spread":0.2592429178548432,"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."}}