{"id":"W3111655370","doi":"10.1371/journal.pone.0237052","title":"Can the creation of new freshwater habitat demographically offset losses of Pacific salmon from chronic anthropogenic mortality?","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Habitat; Offset (computer science); Fishery; Environmental science; Ecology; Oceanography; Geography; Biology; Geology","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":[0.0004422758,0.0002249753,0.0002288669,0.0001505239,0.000228381,0.0004332582,0.0004843426,0.0004883173,0.001344541],"category_scores_gemma":[0.001890111,0.0001636288,0.0003186347,0.0001340693,0.0004075914,0.0009461905,0.0004492645,0.0002569822,0.00008791349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005670079,"about_ca_system_score_gemma":0.0009029988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01351193,"about_ca_topic_score_gemma":0.02712246,"domain_scores_codex":[0.9998777,0.00003853349,0.000005062068,0.00002619237,0.00001362391,0.00003891791],"domain_scores_gemma":[0.9995551,0.0001407393,0.000140007,0.00002924213,0.00005069581,0.00008430914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002330378,0.0001622687,0.1228485,0.0001312359,0.00009213674,0.0002031774,0.00008430128,0.8394878,0.009566919,0.00336385,0.0006175777,0.02320916],"study_design_scores_gemma":[0.00008377133,0.0007540765,0.06872426,0.00003197789,0.0001077588,0.0001923461,0.0004994824,0.9209209,0.002483998,0.004658761,0.001504277,0.00003834995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921117,0.00006926536,0.006437337,0.0001766295,0.00001186417,0.0000150658,0.0001185342,0.00002285325,0.001036726],"genre_scores_gemma":[0.9964617,0.00006752408,0.00310246,0.00002974043,0.000002387655,0.00001197694,0.00005460835,0.000003479724,0.0002662405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01351193,"threshold_uncertainty_score":0.02686656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914364839487812,"score_gpt":0.2214024376223195,"score_spread":0.1922587892274414,"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."}}