{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003573522,0.0004078269,0.0002113615,0.0007114348,0.0009661319,0.00104651,0.0007347654,0.0002824148,0.001046985],"category_scores_gemma":[0.0007388231,0.0001763924,0.0005605863,0.001295796,0.0002446882,0.0004925726,0.0003809925,0.0003450568,0.0001826188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009101326,"about_ca_system_score_gemma":0.009935171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.978523,"about_ca_topic_score_gemma":0.9797207,"domain_scores_codex":[0.9998556,0.00001023874,0.000005365984,0.00002812135,0.00004953227,0.00005104907],"domain_scores_gemma":[0.9996903,0.00002969186,0.00003254501,0.000008500194,0.0001797134,0.00005931611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001911542,0.00006714126,0.7447441,0.0001587918,0.0002104157,0.0003241849,0.0004205134,0.2123303,0.001488783,0.001576803,0.004767166,0.03372061],"study_design_scores_gemma":[0.00001950197,0.00002699363,0.6528926,0.00008156448,0.0000835937,0.00009872053,0.001246223,0.3386955,0.000401682,0.0008866691,0.005510801,0.00005609626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861394,0.0008469787,0.001434978,0.0005628071,0.00001940786,0.00001404025,0.00548381,0.00008002893,0.005418482],"genre_scores_gemma":[0.9957118,0.0004880602,0.001035108,0.00003828986,0.000004340239,0.000006803331,0.002025457,0.00000988773,0.0006802932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02147704,"threshold_uncertainty_score":0.06603509,"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."}}