{"id":"W3207195456","doi":"10.3389/fmars.2021.742209","title":"Kelp in the Eastern Canadian Arctic: Current and Future Predictions of Habitat Suitability and Cover","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcticNet; University of Manitoba; Université Laval; Dalhousie University; Canadian Museum of Nature; Fisheries and Oceans Canada","funders":"Australian Research Council; Natural Resources Canada; Fisheries and Oceans Canada; Nunavut Wildlife Management Board; Marine Environmental Observation Prediction and Response Network; Ocean Frontier Institute; Natural Sciences and Engineering Research Council of Canada; Belmont Forum; Canada First Research Excellence Fund; ArcticNet; Biodiversa+","keywords":"Kelp forest; Kelp; Habitat; Arctic; Ecology; Climate change; Biodiversity; Environmental science; Oceanography; Marine ecosystem; Fishery; Marine protected area; Laminaria; Ecosystem; Biology; Algae; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005380468,0.00006248417,0.0001045132,0.0001259001,0.00008594842,0.00003744835,0.0001693521,0.00002554231,0.0000954061],"category_scores_gemma":[0.00009022377,0.00004383868,0.00001031706,0.0004964801,0.0004280805,0.0001599684,0.00006165735,0.0001422294,0.000001161957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009374484,"about_ca_system_score_gemma":0.0002558439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1227707,"about_ca_topic_score_gemma":0.7130403,"domain_scores_codex":[0.9992092,0.00006658245,0.0001265747,0.0002326722,0.0001360324,0.0002288835],"domain_scores_gemma":[0.9996668,0.00004841737,0.00002404425,0.0001316322,0.00003601097,0.00009312713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005882124,0.000006485593,0.8256971,0.000012824,7.624474e-7,0.00000659138,0.0001548003,0.00001679978,0.000001017747,0.00005245818,0.0001335818,0.1739117],"study_design_scores_gemma":[0.000101106,0.00003261373,0.983059,0.000006016994,0.000002366944,0.00002360717,0.0007755046,0.003187813,0.000001993682,0.001568974,0.01119098,0.00005005584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872242,0.0005960566,0.00002822551,0.00113234,0.0007024003,0.0001077066,0.00006300439,0.000002410178,0.01014367],"genre_scores_gemma":[0.9984457,0.000405562,0.0008680684,0.0001139122,0.00003942975,8.830107e-7,0.000027455,5.460977e-7,0.00009841337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5902696,"threshold_uncertainty_score":0.8830708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007481841081699941,"score_gpt":0.1983531863765461,"score_spread":0.1908713452948461,"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."}}