{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002485555,0.0001519609,0.0003490737,0.0003492637,0.0004298923,0.000173851,0.0008272753,0.00009931946,0.0006369833],"category_scores_gemma":[0.0006721462,0.000131431,0.00009461182,0.002235038,0.0001928667,0.0007154391,0.0002852314,0.0003627468,0.00009603066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008736615,"about_ca_system_score_gemma":0.0005113942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003212139,"about_ca_topic_score_gemma":0.000840792,"domain_scores_codex":[0.9964669,0.0002723738,0.000679984,0.0005150304,0.0014258,0.0006399523],"domain_scores_gemma":[0.9975186,0.0006072879,0.0002972897,0.0005254314,0.0008651949,0.0001861865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001818027,0.0008437496,0.01072375,0.0001024976,0.0002588512,0.0002644773,0.0007971548,0.0009249241,0.004268932,0.8498303,0.02294257,0.108861],"study_design_scores_gemma":[0.001540653,0.001068914,0.0319247,0.0001739521,0.00005071158,0.00007174643,0.0007315404,0.8940747,0.01305378,0.00441879,0.05204679,0.0008437239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09585091,0.001260691,0.8576896,0.008635706,0.0004613644,0.002128292,0.001023013,0.0004679804,0.03248243],"genre_scores_gemma":[0.9637675,0.00002991916,0.03355395,0.00003630427,0.0001808777,0.0000325616,0.00006019458,0.00001505058,0.002323648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8931498,"threshold_uncertainty_score":0.6974521,"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."}}