{"id":"W2753236625","doi":"10.4230/lipics.cpm.2017.5","title":"Path Queries on Functions","year":2017,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Combinatorics; Path (computing); Element (criminal law); Range (aeronautics); Function (biology); Mathematics; Domain (mathematical analysis); Binary logarithm; Discrete mathematics; Computer science; Mathematical 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":[0.001956795,0.001021479,0.001402465,0.001617495,0.001026203,0.002275325,0.00130876,0.001689169,0.01185835],"category_scores_gemma":[0.01479265,0.0004200936,0.0007013999,0.003786265,0.001279265,0.01070374,0.003171585,0.001373082,0.001790925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258312,"about_ca_system_score_gemma":0.001013339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001923865,"about_ca_topic_score_gemma":0.001659079,"domain_scores_codex":[0.9972243,0.0006735691,0.0003443937,0.0006241305,0.0007000484,0.0004335644],"domain_scores_gemma":[0.9891486,0.007346522,0.0004615367,0.002139751,0.0006960043,0.0002075361],"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":[0.003869082,0.0003174329,0.006436108,0.001126577,0.0001338539,0.0006402184,0.001365996,0.04488686,0.02054268,0.2978283,0.07670498,0.5461479],"study_design_scores_gemma":[0.0004829499,0.0006966281,0.002185776,0.0002510402,0.0000913921,0.001252294,0.001138327,0.1967728,0.03656414,0.6637812,0.096655,0.0001284782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2765605,0.004131348,0.6585011,0.00472248,0.0003345257,0.0006515791,0.0171121,0.01467658,0.02330966],"genre_scores_gemma":[0.7508677,0.001362137,0.2188523,0.001307836,0.0003195717,0.0008070139,0.0117238,0.001245718,0.01351391],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01185835,"threshold_uncertainty_score":0.03967011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087718378731119,"score_gpt":0.273045631051949,"score_spread":0.2521684472646378,"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."}}