{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004821146,0.0003683472,0.0002111877,0.0007310302,0.0009679123,0.001285403,0.0009333209,0.000342577,0.001943396],"category_scores_gemma":[0.01544494,0.0002411381,0.000254693,0.0005878152,0.0006066533,0.0008618167,0.0009419247,0.0004308798,0.00009024811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01825143,"about_ca_system_score_gemma":0.01345867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4853338,"about_ca_topic_score_gemma":0.7041399,"domain_scores_codex":[0.9983661,0.0007895476,0.00006029245,0.0001890285,0.0002489229,0.0003460428],"domain_scores_gemma":[0.9935322,0.002044886,0.0007725919,0.0004097747,0.002093852,0.001146736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001366618,0.000659983,0.2615637,0.0003539311,0.0002448172,0.0002307479,0.0008797632,0.6114341,0.006005656,0.005454097,0.001566675,0.11024],"study_design_scores_gemma":[0.000560258,0.004191538,0.2427535,0.0001399364,0.0004094007,0.0001022345,0.004801547,0.7261842,0.007241506,0.002832975,0.01070664,0.00007623143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872385,0.0000930583,0.006511605,0.0002032439,0.00001260761,0.0009497488,0.0003258395,0.00005370189,0.004611705],"genre_scores_gemma":[0.9806314,0.00007649497,0.01784232,0.00003439022,0.000002548172,0.0002901801,0.0002170548,0.000007990343,0.0008976363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5146662,"threshold_uncertainty_score":0.9650176,"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."}}