{"id":"W142123670","doi":"","title":"Regular Weighted Graphs Without Positive Cuts.","year":2007,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics","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":[0.0006673494,0.0007836389,0.0006369328,0.00146348,0.001178833,0.002480592,0.001365312,0.00112345,0.01326833],"category_scores_gemma":[0.005146083,0.0007371655,0.0006252367,0.001464233,0.001446224,0.004349965,0.001295377,0.001913887,0.003071167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006378219,"about_ca_system_score_gemma":0.0004512306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009018591,"about_ca_topic_score_gemma":0.00172589,"domain_scores_codex":[0.999033,0.0001960415,0.00005480129,0.0002953007,0.0002596373,0.0001612562],"domain_scores_gemma":[0.9969599,0.001170756,0.00051524,0.0005445462,0.0005063525,0.0003032451],"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":[0.0002424167,0.00008406927,0.0007595957,0.0002622473,0.00006592389,0.0004342152,0.0002265294,0.003016157,0.006845064,0.9325007,0.01381105,0.04175223],"study_design_scores_gemma":[0.00003221139,0.00003293004,0.0005318198,0.00007173263,0.00005496335,0.0006727097,0.0001589793,0.01039428,0.002898427,0.9654636,0.01967056,0.00001779885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.265141,0.001737229,0.4655954,0.00235806,0.0008418834,0.0002603495,0.002757238,0.001471534,0.2598374],"genre_scores_gemma":[0.7525889,0.001342842,0.1368286,0.0009659659,0.0003377805,0.0002597616,0.003317354,0.0006509623,0.1037078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01326833,"threshold_uncertainty_score":0.04438698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025776286360925,"score_gpt":0.2761598714599797,"score_spread":0.2659021085963704,"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."}}