{"id":"W2890301603","doi":"10.48550/arxiv.1809.07640","title":"Properties of a $q$-analogue of zero forcing","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Forcing (mathematics); Vertex (graph theory); Oracle; Mathematics; Zero (linguistics); Graph; Security token; Combinatorics; Discrete mathematics; Computer science; 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":[0.001903621,0.0005953645,0.001189757,0.001061438,0.001839676,0.003269929,0.001942079,0.002136945,0.01084457],"category_scores_gemma":[0.01428035,0.0005778339,0.001347869,0.001068564,0.004896982,0.006172115,0.002466927,0.00342672,0.0007843464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211371,"about_ca_system_score_gemma":0.001064024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112785,"about_ca_topic_score_gemma":0.00079973,"domain_scores_codex":[0.9967448,0.0007583769,0.0002323236,0.000963311,0.0007079969,0.000593137],"domain_scores_gemma":[0.9835882,0.01088335,0.001523229,0.001820745,0.0008683972,0.001316049],"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":[0.0001423236,0.00007820742,0.0008080131,0.00006930756,0.00001666765,0.0002115232,0.0002663325,0.007943978,0.003644396,0.9791419,0.001359763,0.00631765],"study_design_scores_gemma":[0.00005535406,0.00008252601,0.0003992954,0.00001662832,0.00001406734,0.0003381108,0.00008546897,0.02661027,0.001699214,0.967643,0.003021226,0.00003499247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4697087,0.0002708847,0.4202817,0.002488115,0.0002221875,0.0002879282,0.001032688,0.0007924376,0.1049153],"genre_scores_gemma":[0.9277819,0.0001804708,0.060172,0.0006913526,0.0001414105,0.0002237973,0.0004842637,0.0001744605,0.01015026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01084457,"threshold_uncertainty_score":0.03627867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1643554267615976,"score_gpt":0.2093395984851766,"score_spread":0.04498417172357908,"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."}}