{"id":"W6925872694","doi":"10.18739/a2wh2df2x","title":"Surface sediment samples collected from the Canadian Coast Guard Ship (CCGS) Sir Wilfrid Laurier, Northern Bering Sea to Chukchi Sea, 2014","year":2019,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Urban Planning and Valuation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Sediment; Arctic ice pack; Arctic; Plankton; Total organic carbon; Estuary; Chlorophyll a; Seabed","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006617772,0.000575421,0.0004880456,0.00008325036,0.0006992507,0.0002696059,0.001193916,0.0003789839,0.005801972],"category_scores_gemma":[0.0001514231,0.0004796998,0.0001203665,0.0004120386,0.0001285448,0.0001269315,0.0003750663,0.0006506051,0.008355425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295862,"about_ca_system_score_gemma":0.0004417004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8358928,"about_ca_topic_score_gemma":0.9649814,"domain_scores_codex":[0.9964104,0.0003069449,0.0004459092,0.0009647066,0.001023018,0.0008490666],"domain_scores_gemma":[0.9975035,0.0004179701,0.0002189179,0.001295936,0.00003186576,0.000531777],"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":[0.00003513814,0.00002649887,0.1303109,0.000009964183,0.00007422536,0.00001380722,0.0004242076,0.004722668,0.0000910173,1.4031e-7,0.8641601,0.0001313561],"study_design_scores_gemma":[0.0003065132,0.00008623493,0.1531823,0.00009881731,0.0001387633,0.000004716345,0.0001016382,0.0006410263,0.0000551521,0.000007614502,0.8448038,0.0005734525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2190496,0.0002499561,0.000007914881,0.000580012,0.0007249577,0.0008639522,0.7781125,0.00004495649,0.0003661469],"genre_scores_gemma":[0.04128334,0.00006800671,0.0002059339,0.002056102,0.0003831897,0.00004595812,0.9550052,0.00007184884,0.000880414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1777662,"threshold_uncertainty_score":0.9997655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0332204902516773,"score_gpt":0.2485553171593882,"score_spread":0.2153348269077109,"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."}}