{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002387536,0.00007078415,0.0001229105,0.00002300537,0.0002199834,0.00003114514,0.000731451,0.00002705468,0.0009031075],"category_scores_gemma":[0.0002687768,0.00004399393,0.00002614419,0.0003720713,0.000235603,0.0001147737,0.000173401,0.0002823503,0.0002709072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001748493,"about_ca_system_score_gemma":0.000102688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9086267,"about_ca_topic_score_gemma":0.4808346,"domain_scores_codex":[0.9982231,0.0002352938,0.0001390616,0.0002816573,0.000780138,0.0003407315],"domain_scores_gemma":[0.9986581,0.0005853826,0.00004047124,0.0005841348,0.00005433842,0.00007752513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000087291,0.00007817424,0.9168975,0.00004650069,0.0000566417,0.00001810249,0.0002153371,0.002206443,0.002375876,0.0005578148,0.06681076,0.01064954],"study_design_scores_gemma":[0.0001078709,0.00006027563,0.9892836,0.00001160962,0.000005675206,1.465376e-7,0.00009126837,0.00212689,0.00002239302,0.001311488,0.006922666,0.00005615752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781963,0.00009527288,0.00001535022,0.02067283,0.0002046775,0.000223939,0.0002662271,0.000005817883,0.0003196334],"genre_scores_gemma":[0.9979997,0.00002125249,0.00007916511,0.0009783172,0.0001253356,0.00000100204,0.0006863969,0.000001718674,0.0001071574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4277921,"threshold_uncertainty_score":0.9888394,"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."}}