{"id":"W2563483757","doi":"10.15447/sfews.2016v14iss4art6","title":"Perspectives on Bay–Delta Science and Policy","year":2016,"lang":"en","type":"article","venue":"San Francisco Estuary and Watershed Science","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Delta; Environmental resource management; Recreation; Citizen science; Environmental planning; Vulnerability (computing); Geography; Environmental science; Ecology; Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.02530675,0.0008561026,0.001173066,0.002913644,0.005985377,0.0223662,0.002524764,0.01816405,0.0131543],"category_scores_gemma":[0.01937529,0.0005154197,0.001312537,0.004308999,0.01353367,0.01847907,0.008476626,0.01889564,0.001991343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01759622,"about_ca_system_score_gemma":0.03410696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01871044,"about_ca_topic_score_gemma":0.01661459,"domain_scores_codex":[0.9884555,0.004376517,0.0008765154,0.001113846,0.003543447,0.00163407],"domain_scores_gemma":[0.9792743,0.009927348,0.001218253,0.001306068,0.005543795,0.002730133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006550436,0.0000646716,0.0009334211,0.0003842536,0.00002424975,0.0002885864,0.002442389,0.0008188888,0.0003245441,0.8306606,0.1208021,0.04319083],"study_design_scores_gemma":[0.0000170868,0.00002684616,0.0009073252,0.0009513629,0.00001111544,0.00008329296,0.002966949,0.0002965145,0.0001413905,0.2379443,0.7566212,0.00003269118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002554802,0.04116319,0.0009613552,0.9090154,0.005329364,0.00001375286,0.0001476826,0.00002427231,0.04079024],"genre_scores_gemma":[0.2178945,0.1451619,0.007848511,0.5679491,0.01657345,0.0001948955,0.0007100629,0.00008557203,0.04358203],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02530675,"threshold_uncertainty_score":0.1338364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00716366294567485,"score_gpt":0.2247242631711354,"score_spread":0.2175606002254605,"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."}}