{"id":"W164070410","doi":"","title":"Independent Sets And Matchings In Tensor Product Of Graphs.","year":2004,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Tensor product; Product (mathematics); Tensor (intrinsic definition); Combinatorics; Pure mathematics; Geometry","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":[0.002033102,0.0007662807,0.001075523,0.003646673,0.002862552,0.004424146,0.001571643,0.00165723,0.01042421],"category_scores_gemma":[0.007776422,0.0011822,0.001452653,0.003985911,0.004127701,0.01194961,0.003260363,0.002833846,0.001762697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659821,"about_ca_system_score_gemma":0.0007184391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534442,"about_ca_topic_score_gemma":0.001876139,"domain_scores_codex":[0.9978034,0.0007136254,0.0001796753,0.0004761773,0.0005079262,0.0003191865],"domain_scores_gemma":[0.994109,0.00312308,0.0008569578,0.0007894259,0.00049237,0.0006291008],"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":[0.00003537342,0.0000209917,0.0002792146,0.00004576643,0.00001404407,0.00006652921,0.00020342,0.0007212,0.0003837173,0.9909858,0.001500361,0.005743672],"study_design_scores_gemma":[0.000005897686,0.00001031126,0.0001844898,0.00001742195,0.00001495289,0.0001377255,0.00006908031,0.002862358,0.0002583058,0.9934009,0.003029817,0.000008736863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3547099,0.009380632,0.4348014,0.004751436,0.0009275765,0.0001526453,0.001276499,0.0008583845,0.1931415],"genre_scores_gemma":[0.885547,0.002946978,0.06615897,0.0005492985,0.0009611754,0.0001372582,0.000930574,0.0002584587,0.04251026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01042421,"threshold_uncertainty_score":0.03487241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124302741916157,"score_gpt":0.2691557154029496,"score_spread":0.2567254412113339,"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."}}