{"id":"W2553989484","doi":"10.1002/2016ea000188","title":"Data processing for a small‐scale long‐term coastal ocean observing system near Mobile Bay, Alabama","year":2016,"lang":"en","type":"article","venue":"Earth and Space Science","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; University of British Columbia; Northern Gulf Institute; Alabama Department of Conservation and Natural Resources; Gulf of Mexico Research Initiative; National Science Foundation","keywords":"Bay; Scale (ratio); Term (time); Oceanography; Remote sensing; Geology; Environmental science; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002071167,0.000193138,0.000084495,0.001109605,0.001348138,0.0008532957,0.0005304577,0.0002090385,0.003392984],"category_scores_gemma":[0.005074405,0.0001608279,0.0001461542,0.001191593,0.0002815765,0.0005273829,0.0005853324,0.0003021706,0.0008638679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002240855,"about_ca_system_score_gemma":0.004747964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1466493,"about_ca_topic_score_gemma":0.2506768,"domain_scores_codex":[0.9993718,0.0001276727,0.00008226936,0.0001286268,0.0002554454,0.00003417332],"domain_scores_gemma":[0.993504,0.0009364251,0.0007226412,0.00114912,0.003436809,0.0002509561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006324466,0.0005855277,0.5663581,0.0002971018,0.0001025453,0.001407639,0.005767651,0.009445222,0.08205181,0.001352626,0.04396295,0.2880363],"study_design_scores_gemma":[0.0001579065,0.0003418026,0.7979575,0.0001877384,0.00008053984,0.0002236148,0.005050116,0.02394006,0.03412211,0.0004732789,0.1373872,0.00007802722],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.885909,0.0002422791,0.05663675,0.001586202,0.0001414159,0.002825366,0.02269998,0.006959337,0.02299966],"genre_scores_gemma":[0.7877739,0.0002216385,0.1747017,0.0004451289,0.00004284649,0.001299553,0.01958154,0.0007070012,0.01522669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1466493,"threshold_uncertainty_score":0.2915915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162084868929996,"score_gpt":0.2249352516077129,"score_spread":0.203314402918413,"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."}}