{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002371837,0.0005655123,0.0002744063,0.003781949,0.0008525513,0.001464077,0.0007971434,0.0003318027,0.02684493],"category_scores_gemma":[0.001001845,0.0002681725,0.0001770778,0.00601565,0.0001734972,0.0007371345,0.0005845504,0.0006806935,0.009585037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002094134,"about_ca_system_score_gemma":0.006539389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5697167,"about_ca_topic_score_gemma":0.6620626,"domain_scores_codex":[0.9996986,0.00001251492,0.00002041917,0.00004912911,0.0001912634,0.00002805916],"domain_scores_gemma":[0.9992781,0.00002872754,0.00005686296,0.0000375815,0.0005472791,0.00005155648],"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":[0.00004083287,0.00002539511,0.006855674,0.0002763653,0.00001731477,0.00007465776,0.0001202607,0.0002906481,0.0001719642,0.00136695,0.9497607,0.04099935],"study_design_scores_gemma":[0.00002376367,0.00000817722,0.04306953,0.0002300355,0.00001690442,0.00004486342,0.0004033345,0.0003528495,0.0001963104,0.0002303108,0.9554093,0.00001465185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01383136,0.003511833,0.001392044,0.001136693,0.0007399449,0.0002933846,0.6865703,0.001424443,0.2911],"genre_scores_gemma":[0.04706445,0.007494892,0.0125119,0.0004249779,0.0001843327,0.0009943048,0.7644852,0.0003551585,0.1664847],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5697167,"threshold_uncertainty_score":0.8656347,"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."}}