{"id":"W4411405042","doi":"10.1017/9781009158688.011","title":"Points and Lines, Graphs and Networks","year":2025,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Northern British Columbia","funders":"","keywords":"Computer science","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":[0.0003460942,0.0009600464,0.0004619633,0.002061254,0.0009650734,0.004204819,0.0007221723,0.001393431,0.01406051],"category_scores_gemma":[0.001593192,0.0003442714,0.000311893,0.00449712,0.005916285,0.007440424,0.001231815,0.001690308,0.003659459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002337878,"about_ca_system_score_gemma":0.0008778801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003961561,"about_ca_topic_score_gemma":0.003519704,"domain_scores_codex":[0.9995275,0.0001432362,0.00001922101,0.0001146978,0.000163801,0.00003158727],"domain_scores_gemma":[0.9995715,0.0002483167,0.00003094308,0.0000539398,0.00006335866,0.00003186387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004081351,0.000002939914,0.00005021979,0.00009336218,0.000002951249,0.0000240655,0.0002723261,0.0006899426,0.00008702884,0.9618841,0.0189266,0.0179623],"study_design_scores_gemma":[0.000001989207,0.000004003678,0.000131112,0.00007470998,0.000002304651,0.00006476514,0.0001933301,0.0005036404,0.00003915125,0.7221342,0.2768462,0.000004606764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00534663,0.1341455,0.06439186,0.008333091,0.002278275,0.00006563096,0.0006015989,0.0004567117,0.7843808],"genre_scores_gemma":[0.2177242,0.1693887,0.07947606,0.004485662,0.004854497,0.0004103922,0.001757385,0.0007292869,0.5211738],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01406051,"threshold_uncertainty_score":0.04703707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164130201829261,"score_gpt":0.217372722140218,"score_spread":0.2009597019572919,"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."}}