{"id":"W6910493891","doi":"10.4230/lipics.cpm.2021.15","title":"Data Structures for Categorical Path Counting Queries","year":2021,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Categorical variable; Path (computing); Range query (database); Tree (set theory); Data structure; Range (aeronautics); Tree structure; Matrix (chemical analysis)","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":[0.003046586,0.001428078,0.002165311,0.002250294,0.001787809,0.00489387,0.004872723,0.002460315,0.01360402],"category_scores_gemma":[0.02509057,0.001303859,0.001865009,0.007890955,0.001603974,0.01861083,0.005645288,0.003756843,0.005288049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003036765,"about_ca_system_score_gemma":0.002998072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002761873,"about_ca_topic_score_gemma":0.003975754,"domain_scores_codex":[0.9943388,0.0008250211,0.00117473,0.001235853,0.001824463,0.0006011941],"domain_scores_gemma":[0.97848,0.007013962,0.001478874,0.009777076,0.002573729,0.0006762933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002952436,0.0007622375,0.008784289,0.001551716,0.0001734075,0.0005547306,0.001472621,0.05789351,0.03744151,0.3067172,0.09689537,0.484801],"study_design_scores_gemma":[0.0004660817,0.0005569189,0.001430599,0.0002205333,0.0001135435,0.0007535316,0.0008684696,0.4238434,0.03500666,0.4522297,0.08429296,0.0002175446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04347694,0.0007086662,0.9103114,0.002355378,0.0002205296,0.000593688,0.01222688,0.02444161,0.005664852],"genre_scores_gemma":[0.23206,0.0003607054,0.7385356,0.0008476097,0.0002237416,0.001626911,0.0190595,0.002063015,0.005222898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01360402,"threshold_uncertainty_score":0.04550999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914755067280152,"score_gpt":0.2941442570978527,"score_spread":0.2549967064250512,"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."}}