{"id":"W6888450459","doi":"10.18739/a2dj58g4t","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":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Coast guard; Sediment; Seabed; Deposition (geology); Guard (computer science)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009530358,0.002163557,0.001001982,0.005286993,0.001530771,0.001656218,0.001986708,0.001005785,0.01873613],"category_scores_gemma":[0.002979262,0.0006789908,0.0008825938,0.01269077,0.0003739475,0.000491411,0.00114061,0.0008592235,0.01636249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005086003,"about_ca_system_score_gemma":0.01515628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8857708,"about_ca_topic_score_gemma":0.9460651,"domain_scores_codex":[0.9991738,0.00003358271,0.00008470371,0.0001818894,0.0003247109,0.0002013282],"domain_scores_gemma":[0.9972096,0.0001441044,0.0002234277,0.0002268308,0.002010417,0.0001856387],"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":[0.000108791,0.00001773447,0.007958296,0.0005870488,0.00008402941,0.00005650589,0.00006795629,0.0003297917,0.0001759837,0.0001945081,0.9860182,0.004401126],"study_design_scores_gemma":[0.0001447233,0.00001363847,0.1360936,0.0006264779,0.0001208668,0.00005186574,0.0003866072,0.0003770167,0.0006196458,0.0002574647,0.8612516,0.00005634028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004274579,0.0000503054,0.00002519117,0.00001791588,0.00001185313,0.000008234639,0.9987172,0.00004402562,0.0006977537],"genre_scores_gemma":[0.001114727,0.0001010346,0.000195546,0.00002280484,0.000004537934,0.00003367606,0.9964662,0.00002998964,0.002031553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8857708,"threshold_uncertainty_score":0.2298038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282835259402347,"score_gpt":0.2550015716479871,"score_spread":0.2267180457077524,"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."}}