{"id":"W35647878","doi":"","title":"The Ehrenfeucht-Fraisse Game for Paths and Cycles","year":2007,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003758264,0.001058949,0.002110893,0.002156661,0.003845038,0.009563445,0.002443603,0.004529563,0.01238339],"category_scores_gemma":[0.01583558,0.0007300228,0.001762133,0.00314822,0.007022681,0.01813125,0.004610091,0.003698589,0.001159139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00413004,"about_ca_system_score_gemma":0.002574225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007757732,"about_ca_topic_score_gemma":0.005581748,"domain_scores_codex":[0.9963934,0.001668014,0.0002295829,0.0005173742,0.0006169459,0.0005746958],"domain_scores_gemma":[0.9930587,0.004995167,0.0002714065,0.0006919208,0.0004082173,0.0005746403],"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":[0.00002447267,0.000007994365,0.00006000791,0.00001764317,0.000005177469,0.00002687918,0.0001122378,0.001811328,0.00005031893,0.9949981,0.0005152474,0.002370634],"study_design_scores_gemma":[0.000007124615,0.0000027116,0.00001448747,0.000005978007,0.000003574598,0.00001195457,0.00003461183,0.004125679,0.00003610051,0.9944828,0.001270706,0.000004286414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1549252,0.001833989,0.6481368,0.008636373,0.0002819398,0.0002917014,0.0009059602,0.0004784211,0.1845096],"genre_scores_gemma":[0.859744,0.001447552,0.1023582,0.0006151814,0.000173395,0.0003034584,0.0005048715,0.00016075,0.03469257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01238339,"threshold_uncertainty_score":0.0414266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323359922616632,"score_gpt":0.2584564671326783,"score_spread":0.245222867906512,"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."}}