{"id":"W2763131750","doi":"","title":"North American Marine Protected Area Rapid Vulnerability Assessment Tool","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Marine protected area; Geography; Vulnerability assessment; Vulnerability (computing); Fishery; Ecology; Biology; Habitat; Psychological resilience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001635737,0.000521593,0.0004103364,0.006814435,0.0008548134,0.0009254831,0.0008784282,0.0002364111,0.02451575],"category_scores_gemma":[0.00512013,0.0003162593,0.0004273242,0.006040481,0.0001171934,0.0009121465,0.001346268,0.0004258621,0.004361885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478379,"about_ca_system_score_gemma":0.00452105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1978885,"about_ca_topic_score_gemma":0.3955511,"domain_scores_codex":[0.9988961,0.0001383557,0.0001273587,0.0001055196,0.0005928779,0.0001397296],"domain_scores_gemma":[0.995862,0.0005665177,0.0006015712,0.000225914,0.002465026,0.0002789487],"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":[0.0001624094,0.0001596525,0.1736798,0.0003009205,0.0002007164,0.0001459184,0.0004653069,0.001691208,0.0003748199,0.003026971,0.6031247,0.2166675],"study_design_scores_gemma":[0.00006897229,0.00005027934,0.5287463,0.0004014639,0.0001551655,0.000253096,0.001415566,0.003584852,0.0005531685,0.00260201,0.462091,0.00007809438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1288254,0.0007003769,0.01255851,0.001281116,0.0002899822,0.001246836,0.5778281,0.003242391,0.2740273],"genre_scores_gemma":[0.3200819,0.001852912,0.06323537,0.001210137,0.0000833036,0.007398627,0.4959484,0.0007686124,0.1094207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8021115,"threshold_uncertainty_score":0.3934734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218494189306921,"score_gpt":0.2364801383716439,"score_spread":0.2142951964785747,"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."}}