{"id":"W6944767428","doi":"10.18739/a24x54j4c","title":"Discrete water samples collected from the Conductivity-Temperature-Depth(CTD) rosette at specific depths, Canadian Coast Guard Ship (CCGS) Sir Wilfrid Laurier, Northern Bering Sea to Chukchi Sea, 2018","year":2022,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Sea ice; Arctic ice pack; Rookery; Coast guard; Cryosphere; Arctic; Drift ice; Spring (device); Antarctic sea ice","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001516461,0.003057143,0.002673918,0.00120336,0.004327788,0.001661698,0.004911317,0.001285513,0.05011609],"category_scores_gemma":[0.000419609,0.002400904,0.0008107435,0.00216913,0.0007993577,0.0006535439,0.002926918,0.004537214,0.01208228],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006256587,"about_ca_system_score_gemma":0.001861663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6367029,"about_ca_topic_score_gemma":0.9910945,"domain_scores_codex":[0.9848164,0.002382519,0.001766896,0.00406546,0.002750441,0.004218269],"domain_scores_gemma":[0.9895484,0.001051534,0.0006629451,0.006053155,0.0003284879,0.002355452],"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":[0.0009071635,0.0001204256,0.01071468,0.00008248696,0.001194481,0.001010789,0.001610889,0.0002308165,0.01140734,0.000001667663,0.9726675,0.00005173649],"study_design_scores_gemma":[0.001600648,0.0002149036,0.01694763,0.0002364675,0.0006963041,0.0001977113,0.0007856122,0.00001195855,0.002732304,0.00002198276,0.9732763,0.003278164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2916491,0.001782706,7.735704e-7,0.0009496197,0.002588819,0.00280518,0.6996678,0.00038594,0.000169996],"genre_scores_gemma":[0.02746829,0.0003511396,0.00007237597,0.002526735,0.00275501,0.0008955452,0.9634389,0.001266564,0.001225457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3543916,"threshold_uncertainty_score":0.9993747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02546581653758197,"score_gpt":0.2389527189078961,"score_spread":0.2134869023703141,"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."}}