{"id":"W2600940471","doi":"10.1002/2016jc012636","title":"Transport and thermohaline variability in <scp>B</scp>arrow <scp>C</scp>anyon on the <scp>N</scp>ortheastern <scp>C</scp>hukchi <scp>S</scp>ea <scp>S</scp>helf","year":2017,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASL Environmental Sciences (Canada)","funders":"Integrated Ocean Observing System; Bureau of Ocean Energy Management; ConocoPhillips; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Hindcast; Climatology; Oceanography; Environmental science; Baroclinity; Canyon; Atmospheric sciences; Geology","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.01497795,0.002186265,0.003144155,0.001234928,0.003534662,0.001711212,0.00581863,0.001371603,0.0001244955],"category_scores_gemma":[0.04715778,0.001621488,0.001645699,0.001855066,0.0037148,0.002658178,0.0007092963,0.008919868,0.0008702553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003009175,"about_ca_system_score_gemma":0.001943726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002894762,"about_ca_topic_score_gemma":0.002435529,"domain_scores_codex":[0.9777457,0.003477913,0.003380485,0.002724485,0.007055126,0.005616282],"domain_scores_gemma":[0.9334166,0.05605589,0.002394492,0.003153709,0.001774689,0.003204606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001756277,0.005495475,0.8683245,0.001537841,0.002209885,0.004286916,0.04075608,0.002743548,0.002791513,0.004530733,0.05165433,0.0154936],"study_design_scores_gemma":[0.005066654,0.004237058,0.8101916,0.001276349,0.0005809393,0.0006460328,0.03299035,0.02286704,0.00102601,0.02161181,0.09925357,0.0002525834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613388,0.0009910438,0.0005429179,0.001481077,0.001455296,0.001986876,0.001001766,0.000165109,0.03103709],"genre_scores_gemma":[0.9739984,0.003148452,0.0005048485,0.0009917334,0.0032618,0.00003552776,0.0002651401,0.0002215505,0.0175725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05813285,"threshold_uncertainty_score":0.9999248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106350500248845,"score_gpt":0.2823346859787164,"score_spread":0.2512711809762279,"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."}}