{"id":"W7098569593","doi":"","title":"Testing linearity in . . .","year":2005,"lang":"en","type":"article","venue":"","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Reset (finance); Linearity; Distortion (music); Limit (mathematics); Asymptotic distribution; Nonlinear system; Purchasing power parity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01078961,0.0004769487,0.0006504491,0.001111312,0.0006414613,0.001584315,0.001175331,0.0008210427,0.009975924],"category_scores_gemma":[0.07211303,0.0002380739,0.000702986,0.001106025,0.001772787,0.002263292,0.001408111,0.001023509,0.00181916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006825689,"about_ca_system_score_gemma":0.001109927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002661215,"about_ca_topic_score_gemma":0.001111579,"domain_scores_codex":[0.9919961,0.004240434,0.0005300121,0.001461944,0.001358942,0.0004125316],"domain_scores_gemma":[0.9384991,0.04827212,0.004951663,0.004040135,0.003685376,0.0005515427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001468304,0.0005476834,0.4875662,0.0003184878,0.0007907895,0.0007644586,0.002381734,0.02714486,0.006909348,0.08859696,0.004226791,0.3792844],"study_design_scores_gemma":[0.0003828487,0.004517686,0.3966186,0.0002266729,0.000529141,0.001404887,0.003987728,0.3567583,0.02080832,0.1960821,0.01838762,0.0002959628],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7588941,0.0004165668,0.2114211,0.002057144,0.0002041896,0.0002116187,0.001059915,0.0007282114,0.02500702],"genre_scores_gemma":[0.9896858,0.00004246845,0.008050038,0.0002066324,0.00004829574,0.0001066407,0.0004571337,0.00003347468,0.001369462],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01078961,"threshold_uncertainty_score":0.05706161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04194106025166771,"score_gpt":0.2144808195807506,"score_spread":0.1725397593290829,"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."}}