{"id":"W3124352885","doi":"10.55016/ojs/sppp.v8i1.42519","title":"The North West Sturgeon Upgrader: Good Money after Bad?","year":2015,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Government of Alberta","keywords":"Sturgeon; Fishery; Zoology; Biology; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.002918264,0.000529694,0.0003465579,0.001014047,0.01434215,0.01533033,0.001512222,0.006848174,0.02177797],"category_scores_gemma":[0.007604588,0.0003342917,0.0002866263,0.00108333,0.009888316,0.007846388,0.003516021,0.007752367,0.003932184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01698974,"about_ca_system_score_gemma":0.02389869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3464497,"about_ca_topic_score_gemma":0.6206458,"domain_scores_codex":[0.9973624,0.0003897483,0.00004034183,0.0001759198,0.001093438,0.0009381552],"domain_scores_gemma":[0.9954548,0.0008141716,0.0001912913,0.0001340141,0.00146937,0.001936326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008270513,0.00004587754,0.003373493,0.00008418671,0.00001110737,0.0006667582,0.003802597,0.0001368148,0.0003252844,0.06193834,0.8566675,0.07286531],"study_design_scores_gemma":[0.00001814167,0.00004124151,0.003011512,0.0002762068,0.00001473508,0.0003288096,0.01547446,0.0001992741,0.0003861903,0.01797625,0.9622101,0.00006319806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0223757,0.0168197,0.0009837284,0.7399201,0.01236677,0.00002196287,0.0001938935,0.0003362779,0.2069818],"genre_scores_gemma":[0.3575881,0.01966477,0.001672327,0.2254641,0.003645065,0.00002858451,0.0003874603,0.0004638472,0.3910857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6535503,"threshold_uncertainty_score":0.6888664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0666294594992378,"score_gpt":0.2755408750617021,"score_spread":0.2089114155624642,"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."}}