{"id":"W2088431958","doi":"10.5194/bg-11-6107-2014","title":"Wind-driven changes in the ocean carbon sink","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Western Canada Research Grid; Compute Canada","keywords":"Environmental science; Sink (geography); Climatology; Global wind patterns; Atmospheric sciences; Mesoscale meteorology; Wind speed; Ocean current; Meteorology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009544715,0.0004022794,0.0002624587,0.0005212111,0.0001850999,0.0006044155,0.0002906013,0.0003989933,0.0004917711],"category_scores_gemma":[0.002712392,0.0002989073,0.0005593739,0.0005929287,0.0003393634,0.0010628,0.0003026988,0.0003927327,0.00008522483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006555967,"about_ca_system_score_gemma":0.0003503923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189836,"about_ca_topic_score_gemma":0.01152238,"domain_scores_codex":[0.9998179,0.00005045786,0.0000199255,0.00006115092,0.00003337135,0.00001720202],"domain_scores_gemma":[0.9992642,0.0002958314,0.0001697528,0.0001051725,0.0001301855,0.00003481671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001181771,0.00004186763,0.2683094,0.00004637197,0.0002847523,0.00007264635,0.00004429134,0.7189484,0.005150312,0.001383392,0.0003848794,0.005215634],"study_design_scores_gemma":[0.00003758389,0.00005506617,0.2146676,0.00001800054,0.00006457329,0.00004486926,0.00003452012,0.7768791,0.00562269,0.00167348,0.0008487903,0.00005389994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994626,0.00007822349,0.003579625,0.00006871612,0.00001099965,0.000005412229,0.001091474,0.00004951631,0.000489934],"genre_scores_gemma":[0.9979957,0.00005022795,0.00103871,0.000009771187,0.000004172843,0.000004715885,0.000792096,0.00001118021,0.00009341591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01189836,"threshold_uncertainty_score":0.02365822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263731467499842,"score_gpt":0.232471145037091,"score_spread":0.2098338303620926,"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."}}