{"id":"W2943525138","doi":"10.3389/fmars.2019.00176","title":"Innovative Real-Time Observing Capabilities for Remote Coastal Regions","year":2019,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Wildlife Fund Canada","funders":"Office of Coast Survey; Bureau of Ocean Energy Management; National Weather Service; National Oceanic and Atmospheric Administration","keywords":"Environmental science; Shore; Remote sensing; Ocean observations; Meteorology; Sea ice; Environmental resource management; Computer science; Oceanography; Geography; Geology","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":[0.0006127444,0.0003198781,0.0001454286,0.0004399159,0.0004240365,0.000900152,0.0006144813,0.0003866708,0.002671306],"category_scores_gemma":[0.00068635,0.0001539985,0.0001948081,0.0004438173,0.0003270763,0.002191772,0.001272782,0.0005533087,0.0007467025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002907507,"about_ca_system_score_gemma":0.0005397748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003718487,"about_ca_topic_score_gemma":0.009205543,"domain_scores_codex":[0.9997631,0.00003388749,0.00001245856,0.0000569526,0.0001012266,0.00003234276],"domain_scores_gemma":[0.9994615,0.00009873981,0.00006677317,0.0001310469,0.0001735107,0.00006850153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001871549,0.0001267761,0.03713261,0.0004719671,0.0000484344,0.0008215426,0.003304559,0.01063283,0.2280672,0.02647231,0.01821554,0.6745191],"study_design_scores_gemma":[0.00008398538,0.0007308205,0.08901688,0.0004679881,0.0001877716,0.002382453,0.006451533,0.05921073,0.08745221,0.02112198,0.7326636,0.0002299812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2706434,0.005068272,0.5838074,0.003080852,0.000611214,0.0002214215,0.001306796,0.007103004,0.1281577],"genre_scores_gemma":[0.6516874,0.003017223,0.3258933,0.0004636057,0.0002577069,0.0001288703,0.001304609,0.0002399756,0.01700727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003718487,"threshold_uncertainty_score":0.008936405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008717614403721612,"score_gpt":0.2223518897068889,"score_spread":0.2136342753031673,"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."}}