{"id":"W4401732493","doi":"10.1525/elementa.2024.00001","title":"Phenology metrics for ocean waters with application to future climate change in the Northwest Atlantic Ocean","year":2024,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Phenology; Climate change; Oceanography; Climatology; Environmental science; Effects of global warming on oceans; Geology; Global warming; Ecology; Biology","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":[0.000765583,0.0005487718,0.0002775262,0.002764713,0.0003324917,0.000956709,0.0003322094,0.0002509945,0.000911858],"category_scores_gemma":[0.002502575,0.0001448295,0.0004359236,0.002988454,0.0002006648,0.0005811681,0.000658715,0.000480796,0.0001415418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339788,"about_ca_system_score_gemma":0.0009625725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07394248,"about_ca_topic_score_gemma":0.07962213,"domain_scores_codex":[0.9997115,0.00005212188,0.0000332606,0.0000667257,0.0001088111,0.00002756796],"domain_scores_gemma":[0.9987391,0.0003033732,0.0003992986,0.00009191938,0.0003609243,0.0001054306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009595647,0.00006367747,0.4405039,0.0002362996,0.0001967566,0.0001899415,0.0003196686,0.2982807,0.00739084,0.006390894,0.005633013,0.2406984],"study_design_scores_gemma":[0.00001653469,0.0001010561,0.4576934,0.00005166498,0.00003805691,0.0002021071,0.000211672,0.5162594,0.002387341,0.004466813,0.01848309,0.00008888011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6268958,0.003981726,0.3236486,0.0008458385,0.0001572218,0.000344397,0.02536086,0.003646009,0.01511954],"genre_scores_gemma":[0.786976,0.001036891,0.2018828,0.00005904293,0.00007190538,0.0001943153,0.007543352,0.0002189159,0.002016814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07394248,"threshold_uncertainty_score":0.1470242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206125952002539,"score_gpt":0.2501267793240493,"score_spread":0.2380655198040239,"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."}}