{"id":"W7110215182","doi":"10.26108/vw48-8e97","title":"Modelling fisher (martes pennanti) habitat associations in Nova Scotia","year":2002,"lang":"en","type":"article","venue":"AcadiaU-DEV","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Habitat; Population; Logistic regression; Multivariate statistics; Generalized linear model; Regression analysis; Quality (philosophy)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001953898,0.000114388,0.0001422551,0.00005176972,0.0001511887,0.00001866246,0.0001845618,0.00009066913,0.005345095],"category_scores_gemma":[0.00005875672,0.0001164673,0.00003860536,0.0002581612,0.0001079469,0.0003250043,0.0001660493,0.0001673125,0.00496955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115893,"about_ca_system_score_gemma":0.000001529246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007346064,"about_ca_topic_score_gemma":0.01672784,"domain_scores_codex":[0.9990303,0.00003603832,0.0001844949,0.0002621993,0.000138893,0.0003480977],"domain_scores_gemma":[0.9996638,0.00009600801,0.00005668509,0.0001394625,0.000004288224,0.00003972779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[9.187671e-7,0.00006852148,0.7891862,0.000002479173,0.00001546528,0.000005853344,0.0004265636,0.009307563,0.000009843343,0.0002211478,0.2004779,0.0002775472],"study_design_scores_gemma":[0.0003351882,0.00002607898,0.95462,0.000008572932,0.00002088087,6.7272e-7,0.00009225046,0.02871841,0.00001789075,0.001786664,0.01415519,0.0002182214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7292749,0.0001066849,0.0004338138,0.006723531,0.0003070403,0.0002936263,0.000006949615,0.00007076686,0.2627827],"genre_scores_gemma":[0.9912022,0.000109836,0.0007803159,0.001655411,0.00002936305,0.00001215148,0.000005067594,0.00001122015,0.006194453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2619273,"threshold_uncertainty_score":0.9958052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02987869848569012,"score_gpt":0.2229624768907931,"score_spread":0.193083778405103,"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."}}