{"id":"W3137621314","doi":"10.1029/2020gl092126","title":"Satellite Remote Sensing of Herring (<i>Clupea pallasii</i>) Spawning Events: A Case Study in the Strait of Georgia","year":2021,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Nuclear Safety and Security Commission; National Natural Science Foundation of China; National Oceanic and Atmospheric Administration; U.S. Department of Commerce; National Aeronautics and Space Administration","keywords":"Clupea; Milt; Pacific herring; Herring; Oceanography; Satellite; Remote sensing; Environmental science; High resolution; Geology; Fishery; Fish <Actinopterygii>; Biology","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":[0.0002662077,0.0002438019,0.0001517871,0.0003527571,0.0003641647,0.0004020676,0.0002948073,0.0002750126,0.0003098022],"category_scores_gemma":[0.00020392,0.00008883866,0.0001705042,0.0005216164,0.0002584476,0.0001487687,0.0002763288,0.0001749974,0.00008404972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006958247,"about_ca_system_score_gemma":0.0007186421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2183729,"about_ca_topic_score_gemma":0.4889413,"domain_scores_codex":[0.9998823,0.00002040465,0.000004375038,0.00002382351,0.00004178078,0.0000271852],"domain_scores_gemma":[0.9998442,0.00002781881,0.00001588384,0.00001443922,0.00006798105,0.00002978183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007075443,0.0005437395,0.599318,0.0003009947,0.0001908636,0.0101742,0.001977149,0.04576498,0.2138344,0.001033787,0.005001024,0.1211533],"study_design_scores_gemma":[0.00008916623,0.0006761156,0.869563,0.00005025751,0.0001185846,0.001296068,0.003997863,0.09578921,0.02090907,0.0002777002,0.007169332,0.00006366895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969968,0.00005771836,0.0009268009,0.00006952058,0.000005872429,0.00003058524,0.0001438007,0.00005473708,0.001714315],"genre_scores_gemma":[0.9961131,0.00005607791,0.003055925,0.00002848946,0.000001930002,0.000007045478,0.000126894,0.0000066768,0.0006037859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7816271,"threshold_uncertainty_score":0.4342036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04617455319518816,"score_gpt":0.3281210850784654,"score_spread":0.2819465318832772,"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."}}