{"id":"W4403309247","doi":"10.1016/j.jglr.2024.102454","title":"Assessing water clarity status and long-term trends in North America’s largest lakes using ESA’s Ocean Colour Climate Change Initiative (OC-CCI) products","year":2024,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Environment and Climate Change Canada","funders":"","keywords":"CLARITY; Climate change; Term (time); Environmental science; Oceanography; Climatology; Geography; Physical geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008461129,0.0002640777,0.0001771842,0.0007619289,0.0003664444,0.0004617911,0.0002301233,0.0002123131,0.0005221994],"category_scores_gemma":[0.00147704,0.0001606735,0.0002507984,0.001320128,0.0001793712,0.000566419,0.0005443352,0.0001789681,0.0001236452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008007205,"about_ca_system_score_gemma":0.0004982561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1161082,"about_ca_topic_score_gemma":0.240999,"domain_scores_codex":[0.9997787,0.00003864571,0.00001864007,0.00006601782,0.0000695185,0.00002860046],"domain_scores_gemma":[0.9991227,0.0001603778,0.0002017138,0.00008380765,0.0003748387,0.0000566066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001327489,0.00006909815,0.9519019,0.00006436554,0.0001941961,0.00009266941,0.0006058667,0.006202637,0.01045191,0.0001283696,0.002128075,0.02802817],"study_design_scores_gemma":[0.000008753354,0.00002298797,0.9848615,0.00001054859,0.00003224464,0.00002062056,0.0001984744,0.01183494,0.001658118,0.00005053287,0.001289772,0.00001149039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943685,0.0001050303,0.00103236,0.00004403953,0.000003936086,0.00001984597,0.003448773,0.0000728195,0.0009047655],"genre_scores_gemma":[0.9891415,0.00007934312,0.003613878,0.00003043867,0.000005731853,0.00005888041,0.006686199,0.00002280901,0.0003611697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8838918,"threshold_uncertainty_score":0.2308647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390016568402164,"score_gpt":0.3607898905611712,"score_spread":0.2217882337209548,"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."}}