{"id":"W2952959002","doi":"10.48550/arxiv.0709.3126","title":"Induced forests in regular graphs with large girth","year":2007,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Girth (graph theory); Combinatorics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001306539,0.000403227,0.0005933786,0.001187184,0.0007028014,0.001561493,0.0009915181,0.0009789211,0.002241398],"category_scores_gemma":[0.01453601,0.0005865881,0.0007344647,0.001060864,0.001965315,0.002952887,0.001072069,0.001253125,0.0003633642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027192,"about_ca_system_score_gemma":0.0005679636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007728228,"about_ca_topic_score_gemma":0.001500081,"domain_scores_codex":[0.9985637,0.0004985334,0.00005838618,0.0003241693,0.0002905419,0.0002647299],"domain_scores_gemma":[0.9732421,0.02173548,0.001830997,0.001676875,0.0007546154,0.0007599154],"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":[0.0005975437,0.0001867699,0.01062523,0.0005288143,0.0001246351,0.0008931933,0.0006910763,0.3002825,0.03475938,0.5976099,0.004075125,0.04962573],"study_design_scores_gemma":[0.00004883098,0.00009022153,0.002950243,0.00003862012,0.00004448516,0.0006441391,0.0001157766,0.3941292,0.006777671,0.591952,0.003177431,0.00003137393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5095034,0.001048689,0.4769642,0.0007259012,0.00005060447,0.0001229756,0.0005272298,0.0008367791,0.01022021],"genre_scores_gemma":[0.9353085,0.000573042,0.05968647,0.000168541,0.00009842093,0.0001904805,0.000559443,0.0002198127,0.003195315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002241398,"threshold_uncertainty_score":0.007498264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05086317177513819,"score_gpt":0.3203814492806558,"score_spread":0.2695182775055176,"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."}}