{"id":"W3150637988","doi":"10.1109/netgames.2011.6080990","title":"What + when = how: The timelines approach to consistency in networked games","year":2011,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Timeline; Computer science; Consistency (knowledge bases); Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009966993,0.000410397,0.0004517871,0.0003591746,0.0001681379,0.0007348013,0.004225854,0.0002106272,0.0000552982],"category_scores_gemma":[0.0002938411,0.0002773456,0.0001186181,0.001664896,0.0001985161,0.001058576,0.001913736,0.0003847237,0.0005360414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007122748,"about_ca_system_score_gemma":0.000080221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002199116,"about_ca_topic_score_gemma":0.001381785,"domain_scores_codex":[0.9969063,0.0001697433,0.000468164,0.001002138,0.0005055135,0.0009481665],"domain_scores_gemma":[0.9966916,0.0002023728,0.0001119055,0.002601236,0.0001918258,0.00020108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005578986,0.0004973037,0.005110142,0.00003049514,0.0001097019,0.00001143074,0.02029444,0.001428086,0.0002040486,0.08965278,0.684335,0.1982708],"study_design_scores_gemma":[0.0007063952,0.000205629,0.008346721,0.0002101945,0.00003070798,0.0001013147,0.002482933,0.01320564,0.0004789295,0.05021692,0.9223294,0.001685245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02077002,0.001724621,0.8940574,0.03698949,0.001921709,0.001506594,0.000002249921,0.002127664,0.04090029],"genre_scores_gemma":[0.1465439,0.0001426683,0.818292,0.005439623,0.0001993785,0.0003147376,0.000005857018,0.00004089796,0.029021],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2379944,"threshold_uncertainty_score":0.9999679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0909444583951994,"score_gpt":0.253914186346521,"score_spread":0.1629697279513216,"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."}}