{"id":"W2989743519","doi":"10.1029/2019gl085736","title":"Age of the Canada Basin, Arctic Ocean: Indications From High‐Resolution Magnetic Data","year":2019,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Second Institute of Oceanography, State Oceanic Administration; Chinese Arctic and Antarctic Administration; National Natural Science Foundation of China","keywords":"Geology; Structural basin; Lineation; Arctic; Tectonics; Earth's magnetic field; Magnetic anomaly; Canada Basin; Oceanic basin; Paleomagnetism; Paleontology; Geophysics; Oceanography; Magnetic field","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":[0.0003460228,0.000145921,0.00009847242,0.001266566,0.000600452,0.0007180691,0.0002243299,0.0001397356,0.001044596],"category_scores_gemma":[0.001087267,0.00007100186,0.00009744064,0.001849976,0.0004236182,0.0002258925,0.0004023671,0.0001630701,0.0001436164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002531499,"about_ca_system_score_gemma":0.003822922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.859696,"about_ca_topic_score_gemma":0.9355076,"domain_scores_codex":[0.9998547,0.000009604907,0.000006984394,0.00002881512,0.00005994921,0.00003994525],"domain_scores_gemma":[0.9990441,0.00006631373,0.0001560226,0.00004402013,0.000583264,0.0001062728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005614511,0.000005262715,0.9768779,0.00005087461,0.00007412314,0.0001617603,0.0006169381,0.0005992386,0.006301155,0.0005395217,0.0008866942,0.01383037],"study_design_scores_gemma":[0.000001478048,0.000002235993,0.9965374,0.00001240012,0.000009551464,0.00004342465,0.0002789133,0.0002493341,0.0003174073,0.00006314743,0.002480817,0.000003839801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831117,0.002095686,0.0005817071,0.0003054297,0.00001463185,0.00001015509,0.003086717,0.0000399527,0.01075396],"genre_scores_gemma":[0.9978758,0.0004853458,0.0003281921,0.00002688119,0.000004479121,0.000001747519,0.0007577171,0.00000650418,0.0005132716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.140304,"threshold_uncertainty_score":0.2822606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0424055467985791,"score_gpt":0.2448330760510251,"score_spread":0.202427529252446,"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."}}