{"id":"W6902154152","doi":"10.6084/m9.figshare.22707435","title":"Supplementary Methods and Figures from Groundfish biodiversity change in northeastern Pacific waters under projected warming and deoxygenation","year":2023,"lang":"en","type":"article","venue":"Open MIND","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Groundfish; Biodiversity; Climate change; Global warming; Deoxygenation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009211127,0.001592897,0.0008355667,0.005757978,0.001416545,0.001621287,0.00266416,0.0010066,0.6361011],"category_scores_gemma":[0.006503635,0.001033504,0.00241531,0.006976628,0.0004640471,0.001792632,0.001421608,0.001913494,0.09715153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281721,"about_ca_system_score_gemma":0.002726391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09458501,"about_ca_topic_score_gemma":0.125398,"domain_scores_codex":[0.9994747,0.00005817747,0.00006536922,0.0001398706,0.0001663686,0.00009558687],"domain_scores_gemma":[0.9961972,0.001696338,0.0003108489,0.0003559242,0.001119205,0.0003204277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002437158,0.0001938212,0.008282841,0.002315929,0.0001903214,0.0002112641,0.0001443717,0.004612301,0.001175035,0.002552636,0.9543587,0.02571912],"study_design_scores_gemma":[0.000901679,0.0001017392,0.1183283,0.001336427,0.0002365097,0.0004358655,0.0006999999,0.00643575,0.001694705,0.0161911,0.8534099,0.0002279213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001640763,0.00009574275,0.002221168,0.0001565832,0.0005202552,0.0001422372,0.9889556,0.0007480977,0.005519597],"genre_scores_gemma":[0.01739874,0.0006863301,0.02728201,0.0005129019,0.0003400634,0.001719664,0.9334095,0.001769223,0.01688167],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6361011,"threshold_uncertainty_score":0.5190576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09338409533296801,"score_gpt":0.3499731582703757,"score_spread":0.2565890629374077,"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."}}