{"id":"W7099093176","doi":"","title":"Testing of I(d) processes in the real output","year":2004,"lang":"en","type":"article","venue":"","topic":"Powdery Mildew Fungal Diseases","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White noise; Series (stratigraphy); Noise (video); Mean reversion; Time series","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008146482,0.00004121417,0.00005123047,0.000003312019,0.00003260528,0.00001157529,0.0001686553,0.00001595593,0.00002725908],"category_scores_gemma":[0.0002757548,0.000009459933,0.00001539631,0.0003874802,0.00002701665,0.00005318483,0.00001789252,0.0000273747,0.000006970389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004773907,"about_ca_system_score_gemma":0.0000135194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706959,"about_ca_topic_score_gemma":0.001907342,"domain_scores_codex":[0.9996086,0.00001751537,0.00009048143,0.00008067765,0.0001035342,0.00009920406],"domain_scores_gemma":[0.9996513,0.0002523862,0.00002524531,0.0000205489,0.00003324755,0.00001728766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002607692,0.0006714689,0.7203978,0.00006085681,0.000005259883,0.00001802332,0.0006497982,0.0001161789,0.2140788,0.00275216,0.0003131811,0.06091038],"study_design_scores_gemma":[0.00004748729,0.00008992572,0.994342,0.00002003647,0.00000164906,0.000001524033,0.0005097548,0.000001284051,0.002927225,0.001781513,0.0002362742,0.00004137407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820338,0.00005390358,2.92438e-7,0.0006087013,0.000007473448,0.00007334638,0.00000655414,0.0000216334,0.01719427],"genre_scores_gemma":[0.999649,0.000008213211,0.00008075456,0.0001835855,0.00003348308,0.000005517313,0.000003215682,1.324411e-7,0.00003609326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2739441,"threshold_uncertainty_score":0.2580422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04779134100423892,"score_gpt":0.2369260684331656,"score_spread":0.1891347274289267,"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."}}