{"id":"W4406493260","doi":"10.1016/0967-0653(96)80044-5","title":"10.1016/0967-0653(96)80044-5","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Circulation (fluid dynamics); Margin (machine learning); Oceanography; Geology; Enhanced Data Rates for GSM Evolution; Climatology; Mechanics; Physics; Computer science","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":[0.001462823,0.003485592,0.002383229,0.003154991,0.00329405,0.004404619,0.003968361,0.006944512,0.9914853],"category_scores_gemma":[0.001904195,0.001412272,0.001751529,0.002917993,0.003056137,0.006774129,0.004112733,0.003365465,0.9940707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287383,"about_ca_system_score_gemma":0.001007101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005326258,"about_ca_topic_score_gemma":0.004991893,"domain_scores_codex":[0.9992474,0.00005288864,0.00007476154,0.0002769122,0.000160512,0.0001874851],"domain_scores_gemma":[0.9974378,0.0006839876,0.0001431224,0.000289354,0.0005466151,0.0008990304],"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":[0.0005855961,0.0003560203,0.001321617,0.0007978379,0.0000550897,0.0003796554,0.0001678406,0.0006167592,0.002653319,0.005595183,0.392578,0.5948932],"study_design_scores_gemma":[0.00009260536,0.0002115424,0.001158838,0.0005682453,0.00002116391,0.0004357947,0.0002336526,0.0002403673,0.0004148027,0.0008128121,0.9957721,0.0000381633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005710551,0.0004069184,0.0005425352,0.0004410222,0.0003131371,0.0001427842,0.0007814577,0.0007639426,0.9960372],"genre_scores_gemma":[0.0006795562,0.0002401068,0.0003230448,0.0002812677,0.00007619761,0.00007562807,0.0003464147,0.0001457326,0.997832],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008514702,"threshold_uncertainty_score":0.01214516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006186290663376,"score_gpt":0.163126150764959,"score_spread":0.156939860101583,"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."}}