{"id":"W2963313653","doi":"10.5194/essd-12-1123-2020","title":"A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Remote sensing; Environmental science; Colored dissolved organic matter; Ocean color; Particulates; Phytoplankton; Absorption (acoustics); Aquatic ecosystem; Satellite; Oceanography; Geology; Physics; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.001005542,0.00009487136,0.0002050403,0.00004735035,0.0001366638,0.0001066664,0.0007773317,0.00002837926,0.000005371841],"category_scores_gemma":[0.0001276896,0.00006837415,0.000009997022,0.0006266393,0.0001422756,0.0005940063,0.0002847468,0.0000521128,0.00001416823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001001408,"about_ca_system_score_gemma":0.0001724526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005317009,"about_ca_topic_score_gemma":0.02405015,"domain_scores_codex":[0.9983366,0.00005566097,0.0003803905,0.0006130298,0.0003720272,0.000242275],"domain_scores_gemma":[0.9988514,0.0000558165,0.0001293987,0.0007765698,0.00003780469,0.0001489899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003332203,0.00006403111,0.09987875,0.002063463,0.00003057945,0.00001597193,0.0003893485,0.005278283,0.0017607,0.002613324,0.000862871,0.8867095],"study_design_scores_gemma":[0.0002241697,0.00008316605,0.05340924,0.00008584833,0.00001078801,0.00001769506,0.0002854484,0.9442372,0.0000222696,0.00005124975,0.001482174,0.00009078134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4094289,0.0004500769,0.5628896,0.001974909,0.0004633796,0.005307264,0.01316583,0.0001400668,0.006180063],"genre_scores_gemma":[0.9843628,0.000004518625,0.01309038,0.00002388657,0.00009111251,5.426384e-7,0.002420339,0.000001549095,0.000004824537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9389589,"threshold_uncertainty_score":0.9937584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07259227502452734,"score_gpt":0.2656363756632131,"score_spread":0.1930441006386857,"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."}}