{"id":"W6958173308","doi":"10.6075/j09g5k3b","title":"VANC30MV Vancouver Expedition Leg 30 - Cruise Report. In Data from Scripps Research Expeditions 1953-2005","year":2019,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cruise; Indian ocean; Margin (machine learning); Pacific ocean; Research vessel","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":[0.0004552669,0.001369832,0.0009666125,0.003700777,0.0008324629,0.0018484,0.001438037,0.0007460286,0.07181448],"category_scores_gemma":[0.002361217,0.0007487329,0.0004924496,0.008877818,0.0002293654,0.0006402801,0.001100385,0.001137311,0.07785143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997988,"about_ca_system_score_gemma":0.005054173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5174558,"about_ca_topic_score_gemma":0.6722533,"domain_scores_codex":[0.9995469,0.00002721872,0.00004802922,0.0001141851,0.0001722202,0.00009140292],"domain_scores_gemma":[0.9983788,0.0001718639,0.0001936196,0.0002107115,0.0008238454,0.0002212323],"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":[0.00002981721,0.000007857142,0.001444096,0.0001715386,0.0000185166,0.000009517883,0.00001734122,0.0001144473,0.00003472796,0.0001313114,0.9963882,0.001632669],"study_design_scores_gemma":[0.0001130249,0.000007744154,0.02136687,0.000209611,0.00002324012,0.0000163124,0.00009519792,0.0002327229,0.0001846155,0.0002321627,0.9774963,0.00002216784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009669056,0.00001437217,0.00001008284,0.0000126165,0.000006194162,0.000002730175,0.9991965,0.00004405691,0.0006168431],"genre_scores_gemma":[0.0003708561,0.00002700486,0.00005799502,0.000008337099,0.000002664628,0.00001772781,0.9978255,0.00003415711,0.001655789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5174558,"threshold_uncertainty_score":0.970772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1151890708282813,"score_gpt":0.3401640033345411,"score_spread":0.2249749325062598,"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."}}