{"id":"W7135537082","doi":"","title":"Chance or signal - statistical quantification of temporal associations.","year":2005,"lang":"en","type":"article","venue":"Research Portal (King's College London)","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Pattern recognition (psychology); SIGNAL (programming language); Signal processing; Noise (video); Statistical analysis; Statistical signal processing","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":[0.01193081,0.0007807699,0.00123279,0.002988257,0.000590447,0.003408646,0.001481625,0.001793935,0.009668828],"category_scores_gemma":[0.07951508,0.0005108314,0.001038039,0.003234919,0.003444619,0.006858914,0.002208991,0.002661037,0.00157162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006251616,"about_ca_system_score_gemma":0.0009636056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009968455,"about_ca_topic_score_gemma":0.0008762497,"domain_scores_codex":[0.9926717,0.0028214,0.0005540876,0.002425843,0.001273185,0.0002538264],"domain_scores_gemma":[0.9540712,0.03377718,0.004848961,0.005571066,0.001018588,0.0007129628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006628435,0.0001099533,0.03823167,0.001625165,0.000925476,0.000982812,0.0008041162,0.01536092,0.008376295,0.687054,0.01468636,0.2311803],"study_design_scores_gemma":[0.00003013622,0.0002224008,0.02627152,0.0002242633,0.000297154,0.001535946,0.0002835398,0.08922946,0.003396731,0.8620223,0.01638977,0.00009682958],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04527823,0.008429103,0.916373,0.003139799,0.0009768913,0.0001370873,0.002555532,0.001754195,0.02135617],"genre_scores_gemma":[0.8923951,0.002421163,0.09363696,0.0008550215,0.001453859,0.0003696825,0.001634158,0.0003496124,0.006884382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01193081,"threshold_uncertainty_score":0.06309688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07403944833843855,"score_gpt":0.3555957451632211,"score_spread":0.2815562968247825,"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."}}