{"id":"W2337237359","doi":"10.1890/15-0555","title":"Assessing cumulative impacts of forest development on the distribution of furbearers using expert‐based habitat modeling","year":2016,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Habitat; Ecology; Marten; Wildlife; Geography; Critical habitat; Wildlife management; Forest management; Endangered species; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002579778,0.00007269269,0.00009619178,0.00001289748,0.0002125619,0.000006285827,0.0001305223,0.00006863679,0.0002205742],"category_scores_gemma":[0.0001459875,0.00003965234,0.00003480778,0.0001582041,0.000200838,0.0001139507,0.00005250825,0.00004833487,0.00003038072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001993856,"about_ca_system_score_gemma":0.00003672328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002327133,"about_ca_topic_score_gemma":0.00007838826,"domain_scores_codex":[0.9992791,0.00006060501,0.0002428684,0.000159141,0.0001249365,0.0001333737],"domain_scores_gemma":[0.9991591,0.0004878859,0.0001499688,0.0001437204,0.00002496491,0.00003437924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003480476,0.0005302552,0.9070302,0.00000575451,0.00001892061,3.04641e-7,0.0001538575,0.06697278,0.01590978,0.005015798,0.0001927661,0.004134789],"study_design_scores_gemma":[0.000160632,0.00004205766,0.9511385,0.00002120159,0.000006217589,2.820275e-7,0.00007791372,0.0432352,0.002758143,0.002325231,0.0001612569,0.00007337319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8274793,0.000003136839,0.1709535,0.00106282,0.000009896498,0.0002661653,0.000005293985,0.00001152496,0.0002084004],"genre_scores_gemma":[0.9964217,0.000001426382,0.003202759,0.0002088251,0.000008417972,0.0001355612,0.00001212006,0.000003287836,0.000005901564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1689424,"threshold_uncertainty_score":0.2415133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0662708651083623,"score_gpt":0.3023920387306341,"score_spread":0.2361211736222718,"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."}}