{"id":"W6925876292","doi":"10.18739/a2zw18t9m","title":"Surface sediment samples collected from the Canadian Coast Guard Ship (CCGS) Sir Wilfrid Laurier 2019, Northern Bering Sea to Chukchi Sea","year":2021,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Arctic ice pack; Drift ice; Arctic; Antarctic sea ice; Sediment; Cryosphere; Coast guard; Arctic sea ice decline","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"],"consensus_categories":[],"category_scores_codex":[0.0003358667,0.0007602405,0.0008658472,0.0001399829,0.0004019885,0.0002404493,0.001033737,0.0003837694,0.0006074198],"category_scores_gemma":[0.0007973436,0.0006946543,0.0001734732,0.0008493899,0.00008390587,0.00009078751,0.000303988,0.00106496,0.0003361361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048048,"about_ca_system_score_gemma":0.0006089832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07397948,"about_ca_topic_score_gemma":0.5101349,"domain_scores_codex":[0.9967222,0.0002548088,0.0007231903,0.0007049393,0.0007530651,0.0008417863],"domain_scores_gemma":[0.9952195,0.002609879,0.0001480627,0.001230771,0.0002050989,0.0005866385],"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":[0.00001119623,0.0000227874,0.0002710431,0.0001082638,0.0002749235,0.00006294709,0.0002077752,0.1355703,0.00003575071,0.000004375216,0.8628746,0.0005559917],"study_design_scores_gemma":[0.0002890893,0.00003878422,0.001390086,0.0004468152,0.000190122,0.00001894749,0.0001492581,0.01231873,0.0001728993,0.0006903548,0.9832249,0.001070066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00428247,0.001541137,0.01091147,0.0003756754,0.001587819,0.0008150367,0.9800688,0.0002794351,0.0001381698],"genre_scores_gemma":[0.0007926043,0.0002510171,0.1468566,0.001322898,0.0009643508,0.0001061132,0.849354,0.0002659389,0.00008645993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4361554,"threshold_uncertainty_score":0.9995505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02996715917202412,"score_gpt":0.2793585758044462,"score_spread":0.2493914166324221,"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."}}