{"id":"W2735618032","doi":"","title":"Nserc Canadian Network for Aquatic Ecosystem Services","year":2013,"lang":"en","type":"article","venue":"143rd Annual Meeting of the American Fisheries Society","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ecosystem; Environmental resource management; Aquatic ecosystem; Ecosystem services; Business; Environmental science; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003151322,0.0001485643,0.000265217,0.00000667745,0.0006157846,0.00002520689,0.000492726,0.00003850003,0.000201485],"category_scores_gemma":[0.00004742327,0.0001122594,0.0001746322,0.0002768988,0.0005332266,0.0001847296,0.0003188252,0.00008318338,0.00005627892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351662,"about_ca_system_score_gemma":0.00001733059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1562896,"about_ca_topic_score_gemma":0.3949383,"domain_scores_codex":[0.9988441,0.00007155319,0.0002254291,0.0002343316,0.0001452438,0.0004793573],"domain_scores_gemma":[0.9991776,0.0001588833,0.000300522,0.0002643179,0.00002122081,0.00007742951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004472984,0.00001169298,0.508884,0.00005035342,0.00007842136,9.670848e-8,0.002608635,0.0004457691,0.0000292583,0.00001658033,0.48733,0.0005406839],"study_design_scores_gemma":[0.00020527,0.000181545,0.8414855,0.00006182554,0.00007676451,8.844914e-7,0.02791283,0.002209571,0.00005076393,0.001108035,0.1263913,0.0003156638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795946,0.00001392731,0.00001701787,0.008336898,0.0002539335,0.0006025271,0.00003776658,0.00003980972,0.01110356],"genre_scores_gemma":[0.9879615,0.00002264677,0.004192681,0.006330622,0.00008414497,0.000152397,0.000004069108,0.00001814229,0.001233849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3609387,"threshold_uncertainty_score":0.8493287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005585687991864612,"score_gpt":0.1901614357508492,"score_spread":0.1845757477589845,"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."}}