{"id":"W2997252274","doi":"","title":"Decadal prediction of the ocean: Where are we?","year":2020,"lang":"en","type":"article","venue":"Ocean Sciences Meeting 2020","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Climatology; Geology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002654254,0.0001312498,0.0001320973,0.000002323327,0.0003188696,0.0000263606,0.0006541582,0.00004882129,0.0003499161],"category_scores_gemma":[0.00005897499,0.00009073265,0.00007979888,0.0005864828,0.00091306,0.0001900718,0.0004712308,0.0001348092,0.00004086097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006774467,"about_ca_system_score_gemma":0.00001308037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005647692,"about_ca_topic_score_gemma":0.00001215907,"domain_scores_codex":[0.9984444,0.00005960533,0.0002382441,0.0003832826,0.0006283896,0.00024612],"domain_scores_gemma":[0.9994625,0.00003489167,0.0002142942,0.0001631772,0.00000302025,0.0001221459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006025952,0.00002074368,0.8573826,0.00001229513,0.000003728321,0.00000183341,0.000790695,0.1279752,0.001145561,0.00001972308,0.0120164,0.0006252553],"study_design_scores_gemma":[0.0006745115,0.0004805395,0.4985575,0.000232954,0.00007307503,0.00002591448,0.01109485,0.4222895,0.002630162,0.0005764138,0.06275436,0.0006101709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800099,0.0001304127,0.0004712992,0.008364984,0.0002025614,0.0001508671,0.000008443038,0.00004970668,0.01061182],"genre_scores_gemma":[0.9950852,0.0001271789,0.003732559,0.000610663,0.00007138333,5.015051e-7,4.828265e-7,0.00001077609,0.0003612841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.358825,"threshold_uncertainty_score":0.3831336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293681118265377,"score_gpt":0.201938883921027,"score_spread":0.1890020727383733,"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."}}