{"id":"W4406530160","doi":"10.1016/0967-0653(95)90030-3","title":"10.1016/0967-0653(95)90030-3","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"GCM transcription factors; Climatology; Environmental science; Sensitivity (control systems); Drop (telecommunication); Meteorology; Climate simulation; Climate model; Atmospheric sciences; Climate change; Geology; Geography; General Circulation Model; Computer science; Oceanography; Engineering; Telecommunications","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":[0.001179207,0.003112043,0.002283699,0.002939706,0.003065646,0.004022463,0.003431477,0.005933718,0.990344],"category_scores_gemma":[0.001739456,0.0011898,0.001689438,0.002556581,0.002614094,0.005800283,0.003272435,0.002975042,0.994176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308968,"about_ca_system_score_gemma":0.0009664494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006238624,"about_ca_topic_score_gemma":0.005173809,"domain_scores_codex":[0.9993494,0.00004081803,0.00005645122,0.0002502936,0.0001486726,0.0001543754],"domain_scores_gemma":[0.9978287,0.0005142809,0.0001169455,0.0002513584,0.0005298826,0.0007588253],"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":[0.0004926341,0.0003337302,0.001109475,0.0006773312,0.00004770283,0.0003021071,0.0001332436,0.0005402777,0.002353614,0.004937164,0.4429897,0.546083],"study_design_scores_gemma":[0.00006980032,0.0001436662,0.0009003471,0.0003516309,0.00001585539,0.0003336879,0.0001352333,0.0001817954,0.0003136359,0.0006235029,0.9969007,0.00003022079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000448326,0.0003739183,0.0005060856,0.0003683319,0.0003290029,0.0001235939,0.0008419201,0.0007158614,0.9962929],"genre_scores_gemma":[0.0006156311,0.0002365565,0.0002993302,0.0002339326,0.00008188267,0.00006071062,0.000364257,0.0001532993,0.9979544],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009655952,"threshold_uncertainty_score":0.01377296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00601607563617943,"score_gpt":0.1556513932791601,"score_spread":0.1496353176429807,"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."}}