{"id":"W4398172566","doi":"10.1007/978-3-031-59835-7_31","title":"Fast Combinatorial Algorithms for Efficient Sortation","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Algorithm","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":[0.001297389,0.00178249,0.001688177,0.002069517,0.001974986,0.004682971,0.003561091,0.001751104,0.04177254],"category_scores_gemma":[0.007120721,0.001107077,0.002123472,0.004345346,0.002356856,0.008316903,0.003963145,0.004704662,0.008550582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003149874,"about_ca_system_score_gemma":0.002364055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002499482,"about_ca_topic_score_gemma":0.00425819,"domain_scores_codex":[0.9983783,0.0003427633,0.00009881931,0.000305423,0.0006523643,0.0002223725],"domain_scores_gemma":[0.9966592,0.001839832,0.0001179114,0.0009212812,0.0003653813,0.00009648588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003965332,0.0001775545,0.000236653,0.0005381553,0.00005410616,0.00004555114,0.0001312515,0.03265958,0.004071102,0.5860167,0.03721683,0.3384561],"study_design_scores_gemma":[0.0001381682,0.00005250213,0.0001731771,0.00006739485,0.00003864786,0.00009582732,0.00007716025,0.1423998,0.003411254,0.8256344,0.02787523,0.0000363775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01064122,0.001248108,0.9276443,0.0009422924,0.0003874285,0.0002125388,0.0006905994,0.005110528,0.05312293],"genre_scores_gemma":[0.1471237,0.001250201,0.8120974,0.0005239545,0.0003490186,0.0006394996,0.002035573,0.002139247,0.03384142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04177254,"threshold_uncertainty_score":0.1397431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885149211199916,"score_gpt":0.2653402375234525,"score_spread":0.2464887454114533,"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."}}