{"id":"W4406531439","doi":"10.1016/0967-0653(95)99165-n","title":"10.1016/0967-0653(95)99165-n","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Aquatic and Environmental Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data assimilation; Assimilation (phonology); Environmental science; Oceanography; Computer science; Climatology; Meteorology; Geology; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001129923,0.003149644,0.002049506,0.003062271,0.003614254,0.003786754,0.004052409,0.006180621,0.9912075],"category_scores_gemma":[0.001922702,0.001303532,0.001669477,0.002770088,0.002578721,0.005795797,0.004114038,0.002637027,0.9939644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279772,"about_ca_system_score_gemma":0.001060198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007584387,"about_ca_topic_score_gemma":0.00707339,"domain_scores_codex":[0.9993054,0.00004865006,0.00005928637,0.0002666405,0.0001654021,0.0001546389],"domain_scores_gemma":[0.9976918,0.000564109,0.0001263926,0.0002906272,0.0005068078,0.0008203728],"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":[0.0004105839,0.0003036748,0.001212173,0.0007003824,0.00004172472,0.0003286642,0.0001488711,0.0005376952,0.002252076,0.005037099,0.4504653,0.5385618],"study_design_scores_gemma":[0.0000590766,0.0001312529,0.0009152349,0.0003985343,0.00001449096,0.0003349729,0.0001624265,0.0001760962,0.0002951929,0.0005874266,0.9968973,0.00002793875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004348031,0.0002484269,0.0004563917,0.0003072962,0.0002606917,0.0001178683,0.0006985943,0.0007135675,0.9967624],"genre_scores_gemma":[0.0005201458,0.0001625927,0.0002769308,0.0002204035,0.0000604536,0.00006005033,0.0003346031,0.0001636601,0.9982011],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.00879246,"threshold_uncertainty_score":0.01508051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006550006761057093,"score_gpt":0.1419337181111063,"score_spread":0.1353837113500492,"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."}}