{"id":"W4410281856","doi":"10.32942/x22w6g","title":"Applying essential ecosystem service variables to analyse thirty years of wild salmon provisioning trends in Canada","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Provisioning; Service (business); Ecosystem; Ecosystem services; Geography; Environmental resource management; Business; Ecology; Biology; Marketing; Computer science; Telecommunications; Environmental science","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":[0.002355333,0.0004572013,0.0004204652,0.00250607,0.001387381,0.001273976,0.001209205,0.0004816981,0.0009071844],"category_scores_gemma":[0.006414166,0.0003498436,0.000858083,0.003438293,0.0008158914,0.0005323209,0.001200981,0.0007512097,0.0001287699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01210526,"about_ca_system_score_gemma":0.0123156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9809491,"about_ca_topic_score_gemma":0.9880257,"domain_scores_codex":[0.9992195,0.0001228742,0.00005670837,0.0001903452,0.0002392748,0.000171285],"domain_scores_gemma":[0.9962054,0.001043597,0.0006561913,0.0002405503,0.001405551,0.0004488029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003424282,0.00003696369,0.9766278,0.00003200252,0.0002253475,0.00006608848,0.000544126,0.01144559,0.0002781373,0.0003807715,0.0008675804,0.009461297],"study_design_scores_gemma":[0.000006419992,0.00002495326,0.9506036,0.0000284895,0.00006008591,0.00003042971,0.001016797,0.04544315,0.0001699496,0.000309578,0.002276479,0.00002993061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938642,0.0002248031,0.001379582,0.0001323185,0.000005151063,0.00002384969,0.003628216,0.00003284988,0.0007091063],"genre_scores_gemma":[0.9919155,0.0001296642,0.001976118,0.00004162829,0.000003463303,0.00002760056,0.005277361,0.00001421275,0.000614422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0190509,"threshold_uncertainty_score":0.08783019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007727747309580927,"score_gpt":0.2242413174489928,"score_spread":0.2165135701394118,"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."}}