{"id":"W4400792849","doi":"10.3389/fenvs.2024.1405357","title":"Assessing changes in indicators of fish health measured between 1997 and 2019 relative to multiple natural and anthropogenic stressors in Canada’s oil sands region using spatio-temporal modeling","year":2024,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Alberta Environment and Protected Areas","funders":"Government of Alberta","keywords":"Environmental science; Oil sands; Deposition (geology); Hydrology (agriculture); Atmospheric sciences; Geology; Structural basin; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004699561,0.0002091172,0.0003089191,0.0001316883,0.0001389447,0.00003870148,0.0002109333,0.00006166481,0.00001048284],"category_scores_gemma":[0.00001965749,0.0002122859,0.00001786763,0.0007131317,0.0008056629,0.0007942383,0.0003467313,0.0002700262,3.355813e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00450834,"about_ca_system_score_gemma":0.0001408108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3186394,"about_ca_topic_score_gemma":0.3562371,"domain_scores_codex":[0.9978339,0.00008179615,0.000370184,0.000659574,0.0005619894,0.0004925227],"domain_scores_gemma":[0.9995261,0.00003127542,0.0001063069,0.000144711,5.93878e-7,0.0001910161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001146998,0.00001947918,0.8955371,0.00001421798,0.000003322536,0.00001222855,0.001540396,0.06567924,0.0004150552,5.616132e-7,0.00001277229,0.0367541],"study_design_scores_gemma":[0.0002147269,0.00003080481,0.6579151,0.0001300436,0.000004188176,0.000003277939,0.003258937,0.338123,0.00009606554,0.00001909508,0.00002700359,0.0001778278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996218,0.000719638,0.002334129,0.000308842,0.0001836862,0.000194783,0.00001998398,0.000006561063,0.00001436529],"genre_scores_gemma":[0.9881155,0.0004119227,0.01133619,0.00008141462,0.000007431151,0.000005541657,0.00001169151,0.00001711414,0.00001320972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2724437,"threshold_uncertainty_score":0.9993132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402431722121847,"score_gpt":0.2391981357623952,"score_spread":0.2251738185411767,"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."}}