{"id":"W171256631","doi":"","title":"Irregularly Spaced Time Series Data with Time Scale Measurement Error","year":2014,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Series (stratigraphy); Scale (ratio); Time series; Statistics; Computer science; Mathematics; Geology; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004873341,0.0002417677,0.0003146353,0.0002402746,0.0003427647,0.0002195026,0.002111399,0.00007646518,0.0001823721],"category_scores_gemma":[0.00002942654,0.0002225148,0.00007866089,0.00103615,0.0001289023,0.002032239,0.0009140883,0.0001437422,0.0004290193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009734017,"about_ca_system_score_gemma":0.00009122711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001008009,"about_ca_topic_score_gemma":0.008264629,"domain_scores_codex":[0.9979662,0.000130043,0.0001574376,0.000740044,0.0006017903,0.0004044904],"domain_scores_gemma":[0.9977218,0.00003004582,0.00015222,0.001658754,0.0002370551,0.0002001403],"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":[0.001920652,0.001832777,0.3256665,0.0003717123,0.003525898,0.001281545,0.0009604849,0.01157798,0.003435094,0.04476972,0.4298152,0.1748424],"study_design_scores_gemma":[0.001352744,0.000515891,0.001245952,0.0001122357,0.0002329297,1.527569e-7,0.001439618,0.2168127,0.001644102,0.0001672989,0.7755665,0.0009099006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1274064,0.0001873211,0.772877,0.007081842,0.0003775872,0.0008384004,0.0001241662,0.001568611,0.08953873],"genre_scores_gemma":[0.8596224,0.00001346366,0.0761406,0.0003356347,0.0002701844,0.000001405853,0.0002051396,0.00008083761,0.06333029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7322161,"threshold_uncertainty_score":0.9073892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874163130673985,"score_gpt":0.1863491363687227,"score_spread":0.1676075050619829,"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."}}