{"id":"W6963352922","doi":"10.21966/k7fr-b220","title":"Surface seawater and marine boundary layer CO 2 observations made from the Kwakshua Channel (KC) Buoy on the central coast of British Columbia","year":2020,"lang":"en","type":"dataset","venue":"Hakai Institute","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Buoy; Seawater; Channel (broadcasting); Current (fluid); Sea surface temperature; Surface layer; Boundary layer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002347306,0.0007916839,0.0004463298,0.00234518,0.0007673652,0.0009739181,0.001042564,0.0005491609,0.007182963],"category_scores_gemma":[0.001029683,0.0003245751,0.0002740199,0.005066294,0.0002453157,0.0003278933,0.0006610653,0.0006407086,0.005585532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003181877,"about_ca_system_score_gemma":0.005065864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8704979,"about_ca_topic_score_gemma":0.9193883,"domain_scores_codex":[0.9997175,0.000009436287,0.00001972316,0.00006697181,0.00009853339,0.00008776823],"domain_scores_gemma":[0.9991622,0.00004051095,0.00008080171,0.00007672085,0.000538325,0.0001014606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001874358,0.00008749037,0.08338897,0.0005190952,0.0001291252,0.0002909581,0.0002096205,0.002108715,0.001036253,0.0006672642,0.8950027,0.01637233],"study_design_scores_gemma":[0.00008638467,0.00001705482,0.4381537,0.0002728057,0.00007321813,0.0001205052,0.0008954202,0.003512616,0.001714753,0.0003642043,0.5546988,0.00009059349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007437719,0.00007316892,0.00006696217,0.00005040427,0.00001407315,0.00001179495,0.990703,0.00009463273,0.00154832],"genre_scores_gemma":[0.01102117,0.00008280212,0.0002447849,0.00002095147,0.00000382094,0.00004121695,0.9860691,0.00001862466,0.002497591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1295021,"threshold_uncertainty_score":0.2605294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05194827198267427,"score_gpt":0.243881915898286,"score_spread":0.1919336439156117,"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."}}