{"id":"W3198689306","doi":"10.1016/0967-0653(95)91416-2","title":"10.1016/0967-0653(95)91416-2","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Environmental Changes in China","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climatology; Monsoon; Geopotential height; Sea surface temperature; Northern Hemisphere; Anomaly (physics); Geology; East Asian Monsoon; East Asia; Environmental science; Siberian High; China; Oceanography; Precipitation; Geography; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001330493,0.002130895,0.001412407,0.00226219,0.001574491,0.003343382,0.002317708,0.004995797,0.9830998],"category_scores_gemma":[0.001347426,0.000795144,0.001177432,0.001844275,0.001601252,0.004683679,0.002887934,0.002092316,0.9863848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007302465,"about_ca_system_score_gemma":0.0006763438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002270041,"about_ca_topic_score_gemma":0.002424233,"domain_scores_codex":[0.999217,0.00008698153,0.00008940263,0.0002571268,0.0001755847,0.0001738482],"domain_scores_gemma":[0.9982551,0.0004523605,0.00009860483,0.0002375612,0.0004316891,0.0005246353],"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":[0.0003393485,0.0003585583,0.002263497,0.0005553523,0.00004300027,0.0004831369,0.0001357139,0.0004230619,0.002830161,0.003645029,0.2298982,0.759025],"study_design_scores_gemma":[0.00005962309,0.0001631349,0.001945191,0.0004465865,0.00001526895,0.0005774128,0.0001805358,0.0002348961,0.0003499281,0.0007623738,0.9952391,0.00002573174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001228923,0.0007011028,0.0009282551,0.0007436352,0.0005417884,0.0001579459,0.000951456,0.0007705427,0.9939764],"genre_scores_gemma":[0.001260098,0.0003637068,0.0005774414,0.0004651905,0.0001156031,0.00006808079,0.0005108383,0.0001539438,0.9964851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01690018,"threshold_uncertainty_score":0.02410597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006056642637302137,"score_gpt":0.169338242636808,"score_spread":0.1632815999995059,"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."}}