{"id":"W4254933145","doi":"10.31230/osf.io/x7grb","title":"Indicators of marine ecosystem integrity for Canada’s Pacific: An expert-based hierarchical approach","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecosystem; Environmental resource management; Marine ecosystem; Ecosystem health; Ecosystem-based management; Ecosystem management; Scale (ratio); Adaptive management; Ecosystem services; Computer science; Geography; Environmental science; Ecology; Cartography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01895992,0.001193411,0.0009725653,0.01964618,0.003396772,0.004296688,0.0027019,0.0008761587,0.002751062],"category_scores_gemma":[0.0386609,0.0006141596,0.001410315,0.009837725,0.001343898,0.001531557,0.00332442,0.001614711,0.0004974111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01595088,"about_ca_system_score_gemma":0.02874631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.400554,"about_ca_topic_score_gemma":0.6422507,"domain_scores_codex":[0.9887896,0.003922869,0.001043664,0.001086115,0.004479386,0.0006783285],"domain_scores_gemma":[0.9637192,0.008779193,0.00176903,0.001081861,0.02338691,0.001263869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005112183,0.0006165082,0.148898,0.004373579,0.0009302421,0.001156524,0.02094842,0.04980812,0.009368092,0.02224076,0.0341804,0.7069682],"study_design_scores_gemma":[0.0003435156,0.0008465522,0.3314334,0.003896618,0.001897387,0.0008692068,0.03705075,0.4373705,0.01089268,0.0649529,0.1096862,0.0007602882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1942461,0.003215484,0.7041731,0.005357237,0.0001889465,0.01261145,0.007916989,0.001202119,0.07108855],"genre_scores_gemma":[0.3842526,0.00104089,0.6030762,0.0005536206,0.00005798409,0.002581927,0.003561279,0.00008685553,0.004788668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5994461,"threshold_uncertainty_score":0.796445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087048931445571,"score_gpt":0.2419503629777479,"score_spread":0.2210798736632922,"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."}}