{"id":"W2781642923","doi":"","title":"Oceanographic mooring designs for challenging environments","year":2017,"lang":"en","type":"article","venue":"OCEANS 2017 – Anchorage","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASL Environmental Sciences (Canada)","funders":"","keywords":"Mooring; Inlet; Oceanography; Marine engineering; Arctic; Bathymetry; Drifter; Environmental science; Geology; Meteorology; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009277845,0.001068397,0.0003614031,0.00117127,0.0007811866,0.0008508717,0.00110854,0.001083202,0.00477529],"category_scores_gemma":[0.002167551,0.0004080108,0.0005750865,0.001075544,0.0003767183,0.000865019,0.002107959,0.000793889,0.002730524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004652874,"about_ca_system_score_gemma":0.0006915794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004133132,"about_ca_topic_score_gemma":0.01003395,"domain_scores_codex":[0.9992276,0.0001373695,0.00007449133,0.0001471836,0.0002992685,0.0001141884],"domain_scores_gemma":[0.9984589,0.0001436462,0.0002073826,0.0003965673,0.0006116622,0.0001819016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003511841,0.0001298751,0.02487079,0.0007566805,0.0001335062,0.0006369499,0.0009682459,0.02927991,0.2561125,0.00887662,0.01528878,0.6625949],"study_design_scores_gemma":[0.0002204448,0.002212708,0.09423576,0.0004615775,0.0002638318,0.001911083,0.001363371,0.06325465,0.1520918,0.005765821,0.6778116,0.0004073471],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1282539,0.001267721,0.8064135,0.0008442114,0.0006718839,0.001301596,0.00172334,0.006433048,0.05309072],"genre_scores_gemma":[0.3759834,0.001374669,0.5937317,0.0006221292,0.0001634799,0.001400934,0.002228274,0.0005582323,0.02393732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00477529,"threshold_uncertainty_score":0.01597494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037363780640185,"score_gpt":0.3631628514642136,"score_spread":0.2594264734001951,"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."}}