{"id":"W1532640741","doi":"","title":"On the top-down tree inclusion","year":2006,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Combinatorics; Tree (set theory); Mathematics; Matching (statistics); Space (punctuation); Node (physics); Discrete mathematics; Computer science; Physics; Statistics","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":[0.001379316,0.0008140191,0.001302015,0.001912809,0.001459407,0.00261491,0.002654763,0.001469469,0.00894365],"category_scores_gemma":[0.006405069,0.0006117459,0.001447814,0.003740349,0.001553398,0.008214998,0.005373185,0.001977467,0.002934364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008144586,"about_ca_system_score_gemma":0.001349076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002280681,"about_ca_topic_score_gemma":0.003134459,"domain_scores_codex":[0.9981256,0.0003138123,0.0001253084,0.0004767413,0.0007188998,0.0002396763],"domain_scores_gemma":[0.9975514,0.0009311195,0.0001372244,0.0009276336,0.0003312614,0.0001213163],"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":[0.0005668153,0.0003303686,0.001204973,0.0006020199,0.00007834246,0.0005242305,0.0005210625,0.0520983,0.007458638,0.1580133,0.02725706,0.751345],"study_design_scores_gemma":[0.00007954822,0.000185573,0.0004760569,0.0001772941,0.00009620159,0.0007939998,0.0003145611,0.4299832,0.01510106,0.5105591,0.04218939,0.00004402645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02588121,0.001201497,0.9534336,0.001361464,0.0002004478,0.0002768888,0.0007238823,0.00174276,0.01517832],"genre_scores_gemma":[0.1507566,0.001344481,0.8262601,0.0009045335,0.0002710081,0.0002804649,0.001956957,0.0005192338,0.01770665],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00894365,"threshold_uncertainty_score":0.02991951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008249338377277203,"score_gpt":0.2173406971221256,"score_spread":0.2090913587448484,"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."}}