{"id":"W2486389624","doi":"10.1007/978-3-319-39817-4_6","title":"Positive Zero Forcing and Edge Clique Coverings","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Clique problem; Clique; Forcing (mathematics); Computer science; Popularity; Uniqueness; Enhanced Data Rates for GSM Evolution; Graph; Context (archaeology); Zero (linguistics); Discrete mathematics; Combinatorics; Mathematics; Theoretical computer science; Chordal graph; 1-planar graph; Artificial intelligence; Mathematical analysis","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":[0.0005558274,0.0004493484,0.000681856,0.001396976,0.002155286,0.001959989,0.0008108805,0.001091158,0.01282335],"category_scores_gemma":[0.003212478,0.0004850231,0.0007911896,0.00111919,0.003143045,0.002718072,0.002576797,0.002499974,0.001043556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009348445,"about_ca_system_score_gemma":0.0004591378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008164649,"about_ca_topic_score_gemma":0.001000522,"domain_scores_codex":[0.9994084,0.0001279388,0.0000205854,0.000123584,0.00017793,0.0001416329],"domain_scores_gemma":[0.9977447,0.001406307,0.0001449784,0.0002514794,0.000183701,0.0002688787],"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":[0.0000243708,0.000007243593,0.00010459,0.00003561547,0.000003330888,0.00003768081,0.00009595438,0.000796893,0.0004503891,0.9923077,0.001905662,0.004230516],"study_design_scores_gemma":[0.00001026812,0.000006089756,0.0001392916,0.00001683669,0.000004520393,0.00009594835,0.00005329564,0.002341947,0.0002894589,0.9921498,0.004885518,0.000006994542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3082088,0.002266981,0.1572196,0.003645051,0.0008831672,0.00007524432,0.0006161192,0.0005249637,0.52656],"genre_scores_gemma":[0.9224548,0.0009478295,0.01612281,0.0004477746,0.0004480787,0.00008787873,0.0004112817,0.0001994835,0.05887992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01282335,"threshold_uncertainty_score":0.04289836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388231664144051,"score_gpt":0.2679802428324058,"score_spread":0.2540979261909653,"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."}}