{"id":"W2758175332","doi":"","title":"What Drives the Abundance of Littoral and Pelagic Brook Charr in Canadian Shield Lakes","year":2016,"lang":"en","type":"article","venue":"146th 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":"Pelagic zone; Littoral zone; Fishery; Abundance (ecology); Oceanography; Shield; Geography; Environmental science; Geology; Biology; Paleontology","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":[0.000581671,0.0001326437,0.0002054335,0.0006209852,0.002192897,0.001361288,0.0006629978,0.0007052056,0.003930989],"category_scores_gemma":[0.001735394,0.0003675773,0.0003018821,0.0005615569,0.0013586,0.0005082403,0.0007200451,0.0004082402,0.0002887636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006638493,"about_ca_system_score_gemma":0.005962728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8494308,"about_ca_topic_score_gemma":0.9635438,"domain_scores_codex":[0.9995895,0.00004600227,0.00001446131,0.00009988259,0.00006493555,0.0001852946],"domain_scores_gemma":[0.9986394,0.0001833953,0.0002999604,0.0000401325,0.0002958988,0.0005411117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001063283,0.00002746711,0.9942509,0.00001354036,0.00005642106,0.00006923561,0.0008234406,0.000234428,0.001602794,0.0002117553,0.0007019064,0.001901853],"study_design_scores_gemma":[0.000002541716,0.000005915835,0.9977131,0.000005723395,0.00001130183,0.00001684672,0.001562114,0.000296351,0.00005579428,0.00005126987,0.000273331,0.000005702821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983677,0.00007047475,0.00002915707,0.000207123,0.000004043172,0.000003411772,0.0001028361,0.000003603594,0.001211666],"genre_scores_gemma":[0.9990889,0.00004162018,0.00003806033,0.00008379172,0.00000306676,0.000001846056,0.00007384382,0.000003345735,0.000665462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1505692,"threshold_uncertainty_score":0.3029118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005959238199941445,"score_gpt":0.2034922698984278,"score_spread":0.1975330316984864,"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."}}