{"id":"W2973413571","doi":"10.7151/dmgt.2239","title":"Bounds on watching and watching graph products","year":2019,"lang":"en","type":"article","venue":"Discussiones Mathematicae Graph Theory","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Mathematics; Combinatorics; Graph; Discrete mathematics","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":[0.00155644,0.001262581,0.001222088,0.002219464,0.001509186,0.003070746,0.002819887,0.001268625,0.01328799],"category_scores_gemma":[0.01578851,0.0006768484,0.001161147,0.002174944,0.002062669,0.007539859,0.002427938,0.003295242,0.00118882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868003,"about_ca_system_score_gemma":0.0007925829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705852,"about_ca_topic_score_gemma":0.002228423,"domain_scores_codex":[0.9985932,0.0002504379,0.00007036413,0.0003860494,0.0003103729,0.000389599],"domain_scores_gemma":[0.9784792,0.0147624,0.001128662,0.00166793,0.001387759,0.002574066],"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":[0.0006245236,0.000228518,0.007072951,0.0005688554,0.000123051,0.0003832788,0.001278351,0.04986088,0.01265964,0.8636508,0.008682498,0.05486665],"study_design_scores_gemma":[0.00004142553,0.0002487275,0.003412938,0.0001552934,0.000132022,0.0005429603,0.0004547584,0.1622764,0.007410178,0.8122804,0.0129668,0.00007813574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4441195,0.004692814,0.4419937,0.002832145,0.0003109979,0.0001411767,0.002553131,0.001266408,0.1020901],"genre_scores_gemma":[0.883674,0.002601967,0.09098008,0.0004532816,0.0004167801,0.0002799934,0.001947073,0.0007998649,0.01884704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01328799,"threshold_uncertainty_score":0.04445279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496610401219423,"score_gpt":0.2546068092050074,"score_spread":0.2396407051928132,"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."}}