{"id":"W4391854586","doi":"10.1139/facets-2023-0126","title":"Evaluating the design of the first marine protected area network in Pacific Canada under a changing climate","year":2024,"lang":"en","type":"article","venue":"FACETS","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Government of British Columbia; Vancouver Native Health Society; University of Victoria; First Nations University of Canada; Fisheries and Oceans Canada","funders":"Government of Canada","keywords":"Marine protected area; Oceanography; Geography; Climate change; Environmental science; Climatology; Geology; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005412622,0.00008166945,0.00009075113,0.00001015945,0.0002200774,0.00001724127,0.0001416512,0.00001498931,0.0001878978],"category_scores_gemma":[0.00002879532,0.00004201784,0.00002166131,0.0004575611,0.0000323994,0.00003018659,0.0006539662,0.00009879105,0.00001086066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001747021,"about_ca_system_score_gemma":0.00003003746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1011949,"about_ca_topic_score_gemma":0.6243397,"domain_scores_codex":[0.9991597,0.00006716269,0.0001392324,0.0001454037,0.000200467,0.0002880554],"domain_scores_gemma":[0.9996987,0.00009964136,0.00003832248,0.000146412,0.000003926274,0.00001297162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006900462,0.00004991313,0.4755563,0.0003559981,0.0000992831,0.0000252966,0.004239769,0.4553382,0.00228579,0.0003734205,0.02217915,0.03942788],"study_design_scores_gemma":[0.0002214758,0.00008056229,0.6683109,0.0004124737,0.0000270786,0.00001209883,0.0009454294,0.3200869,0.0001648677,0.001072845,0.0084295,0.0002357823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878829,0.0002483666,0.0002890085,0.004471163,0.0006605997,0.001456124,0.000007678076,0.00004009471,0.00494404],"genre_scores_gemma":[0.9990355,0.00001191423,0.00007350295,0.0000571726,0.00002628805,0.00009688497,6.974257e-7,0.000006562916,0.0006914182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5231448,"threshold_uncertainty_score":0.9047903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740937367575542,"score_gpt":0.2427299678846769,"score_spread":0.2053205942089215,"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."}}