{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001149878,0.0001582942,0.0001325021,0.0002104658,0.001412919,0.00007832646,0.0004530632,0.00002969549,0.0001846059],"category_scores_gemma":[0.0003544155,0.00009534984,0.00001266526,0.0008409428,0.01102269,0.001178747,0.0007597661,0.00007344866,0.0001275688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605029,"about_ca_system_score_gemma":0.00004311488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007544846,"about_ca_topic_score_gemma":0.00008402667,"domain_scores_codex":[0.9979632,0.00002438987,0.0001202595,0.0008079095,0.0005112918,0.0005729841],"domain_scores_gemma":[0.9994134,0.00006503766,0.00003996709,0.0002708999,0.00002593599,0.0001848144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001278871,0.0002158414,0.8202052,0.00001880158,0.00001801407,0.00003364666,0.01511339,0.00001385062,0.08655358,0.03424376,0.006157857,0.03729815],"study_design_scores_gemma":[0.000372092,0.0002870811,0.9898635,0.00001672536,0.000005580378,0.000008324585,0.001533387,0.00004680785,0.002586397,0.003544794,0.001527887,0.0002074463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574451,0.00003008033,0.0000986228,0.007330684,0.0001118029,0.0001811113,0.000002757169,0.00004107923,0.03475879],"genre_scores_gemma":[0.9975941,0.0001471858,0.0002998687,0.001271287,0.00003672139,0.00001317888,1.14683e-7,0.000004864718,0.0006326839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1696582,"threshold_uncertainty_score":0.9998871,"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."}}