{"id":"W4388495373","doi":"10.5194/cp-2023-83","title":"Highly stratified mid-Pliocene Southern Ocean in PlioMIP2","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Netherlands Earth System Science Centre; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Antarctic ice sheet; Oceanography; Geology; Abyssal zone; Climatology; Stratification (seeds); Ocean heat content; Sea ice; Sea surface temperature; Ocean current; Precipitation; Effects of global warming on oceans; Physical oceanography; Ice sheet; Global warming; Climate change; Cryosphere; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001850166,0.0005669111,0.0002927964,0.0003249962,0.0003968118,0.0007691177,0.0003700737,0.0005019191,0.002388443],"category_scores_gemma":[0.0003439018,0.0002791635,0.0005360934,0.0006491041,0.0002165284,0.000477824,0.0006445939,0.0004540722,0.0002980471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008233042,"about_ca_system_score_gemma":0.0005546956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03825042,"about_ca_topic_score_gemma":0.02519523,"domain_scores_codex":[0.9999499,0.000007658078,0.000002356299,0.00002142269,0.000005270126,0.00001334458],"domain_scores_gemma":[0.9999398,0.000009671318,0.00001369886,0.000006602264,0.00001372675,0.00001650482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007208206,0.0001875492,0.8066637,0.0002182416,0.0005739921,0.002034557,0.0007051755,0.1372439,0.03256233,0.001573035,0.004513159,0.0130036],"study_design_scores_gemma":[0.0003254417,0.0001288013,0.8820449,0.00003868966,0.0001511225,0.0001873628,0.0007357722,0.1069224,0.003262845,0.001123137,0.005038053,0.00004160441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961563,0.0000753041,0.0002986062,0.0002012392,0.000009211317,0.000006843076,0.00186123,0.00005308872,0.001338198],"genre_scores_gemma":[0.9965575,0.00006301076,0.0002416555,0.00004664093,0.000007144975,0.00001360903,0.002643996,0.00001916964,0.0004074013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03825042,"threshold_uncertainty_score":0.07605553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05247186739402402,"score_gpt":0.2758379853067361,"score_spread":0.2233661179127121,"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."}}