{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004672093,0.0008989632,0.0005981472,0.001543364,0.0008049561,0.0007746624,0.001199002,0.0006115055,0.00924661],"category_scores_gemma":[0.001102714,0.0003546591,0.000350914,0.004866283,0.0002505068,0.0002837749,0.0006870856,0.0005405124,0.006352346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00261525,"about_ca_system_score_gemma":0.004443924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6436452,"about_ca_topic_score_gemma":0.7918233,"domain_scores_codex":[0.9996233,0.00002616122,0.00003859076,0.0001338805,0.00009650566,0.000081559],"domain_scores_gemma":[0.9991267,0.00006509959,0.0001179893,0.0001080901,0.0004964567,0.00008561628],"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":[0.00022382,0.00006689756,0.06467568,0.0007490842,0.0001164774,0.0001551505,0.0001894783,0.0007605047,0.0006547086,0.0005115784,0.9170038,0.01489293],"study_design_scores_gemma":[0.0001637608,0.00003506309,0.4280645,0.000447577,0.00007121397,0.00009346421,0.0008798713,0.001181697,0.001048174,0.0002876044,0.5676721,0.00005496254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003822889,0.00005153942,0.00008972773,0.00003144925,0.00001080417,0.0000273398,0.9950805,0.00003544172,0.0008504111],"genre_scores_gemma":[0.007374389,0.00007561217,0.0005219718,0.00005251897,0.000005396886,0.0002130622,0.9891094,0.00001579247,0.002631859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3563548,"threshold_uncertainty_score":0.7169068,"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."}}