{"id":"W4406584926","doi":"10.1016/s0967-0653(98)84786-8","title":"10.1016/s0967-0653(98)84786-8","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Kalman filter; Data assimilation; Assimilation (phonology); Oceanography; Environmental science; Geology; Computer science; Geography; Artificial intelligence; Meteorology; Philosophy; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001435948,0.000100727,0.0001333713,0.00004238504,0.0001320055,0.00004328681,0.0001872439,0.00005004357,0.9999314],"category_scores_gemma":[0.00003240472,0.00007756596,0.00004478333,0.0001968179,0.0000344313,0.00009931078,0.000005951989,0.00008065053,0.9995575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002295568,"about_ca_system_score_gemma":0.00001189027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001185204,"about_ca_topic_score_gemma":0.00000417043,"domain_scores_codex":[0.9991844,0.00005494953,0.0001473877,0.000197983,0.0001566863,0.0002586521],"domain_scores_gemma":[0.9994653,0.0001188265,0.00001720056,0.0001749019,0.00001655923,0.0002071983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005721607,0.0000144976,0.00000698104,0.000001541887,0.000007695677,0.000003926526,0.00001305415,0.0125109,8.568014e-7,0.000001529772,0.07161128,0.9157705],"study_design_scores_gemma":[0.0001110133,0.0001686377,0.002029714,0.000002005061,0.00000707967,0.000001600595,6.162885e-7,0.004405307,0.000001536593,0.0001411631,0.9930094,0.00012186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00350571,0.00006836469,0.000001070499,0.0002170871,0.000002144102,0.0001210492,0.00004130537,0.00007953421,0.9959638],"genre_scores_gemma":[0.004961864,2.431809e-7,0.0001938766,0.000123633,0.0001158101,0.000001126849,0.00007921058,0.000002647354,0.9945216],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9213982,"threshold_uncertainty_score":0.3163048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284934732473139,"score_gpt":0.176289926628493,"score_spread":0.1634405793037616,"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."}}