{"id":"W2307490747","doi":"10.3133/ofr20161024","title":"California State Waters Map Series — Offshore of Santa Cruz, California","year":2016,"lang":"en","type":"article","venue":"Antarctica A Keystone in a Changing World","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Esri (Canada)","funders":"National Ocean Service; U.S. Army Corps of Engineers; Bureau of Ocean Energy Management; National Park Service; U.S. Geological Survey; National Marine Fisheries Service; California Department of Fish and Wildlife; National Oceanic and Atmospheric Administration; California Ocean Protection Council; California State University, Monterey Bay","keywords":"Seafloor spreading; Geology; Bathymetry; Shore; Oceanography; Submarine pipeline; Marine geology; Side-scan sonar; Bay; Geological survey; Geologic map; Sonar; Geomorphology; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006827011,0.0002548269,0.0003855198,0.00159389,0.0001280716,0.00005073899,0.000389006,0.0000582532,0.002232385],"category_scores_gemma":[0.00005935539,0.0001693211,0.00008482403,0.001304416,0.0003893503,0.0002644811,0.00008639846,0.0002149458,0.0008499842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005239447,"about_ca_system_score_gemma":0.0001029101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002934061,"about_ca_topic_score_gemma":0.01500411,"domain_scores_codex":[0.9972936,0.0001421173,0.00049138,0.0004293724,0.0005727547,0.001070768],"domain_scores_gemma":[0.9989209,0.0003183991,0.0001009178,0.0003621933,0.00008158684,0.0002159772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005607976,0.00008028086,0.9761719,0.0003213564,0.00009096255,0.0003050034,0.002089542,0.001151312,0.007242182,0.00002667017,0.001517264,0.01044274],"study_design_scores_gemma":[0.0117235,0.002554476,0.3494456,0.007233518,0.0003478582,0.0006732464,0.005701479,0.06486868,0.26006,0.02079867,0.2704497,0.006143298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876907,0.0002093044,0.003062666,0.004524369,0.0003895858,0.0005342945,0.001588125,0.0001084796,0.001892472],"genre_scores_gemma":[0.992782,0.0001625286,0.001667321,0.0001511579,0.00008178173,0.000006124926,0.00006760865,0.00001805596,0.00506343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6267263,"threshold_uncertainty_score":0.999928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635849941683779,"score_gpt":0.2405570524772156,"score_spread":0.2241985530603778,"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."}}