{"id":"W1990157047","doi":"10.1046/j.1523-1739.2000.99036.x","title":"Marten Habitat Selection in a Clearcut Boreal Landscape","year":2000,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre de Géomatique du Québec","funders":"","keywords":"Marten; Taiga; Habitat; Geography; Deciduous; Spruce budworm; Boreal; Forestry; Clearcutting; Snag; Ecology; Logging; Environmental science; Biology; Tortricidae","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002280969,0.00007926398,0.00009924197,0.00004310615,0.00008076435,0.000007507921,0.00008984927,0.0001500151,0.008383762],"category_scores_gemma":[0.00004291075,0.00007812153,0.00002161566,0.0002992069,0.0001173846,0.0001518706,0.00002039259,0.0001129216,0.001212919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005613723,"about_ca_system_score_gemma":0.00001677924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006945526,"about_ca_topic_score_gemma":0.005306172,"domain_scores_codex":[0.999199,0.000137243,0.0001947977,0.0002279763,0.00004438632,0.0001965947],"domain_scores_gemma":[0.9997619,0.0000815473,0.00004163492,0.00007567883,0.000007364898,0.00003191286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005820598,0.00003347603,0.9743139,8.925099e-7,0.000002874963,0.00000138548,0.00005482901,0.00006660138,0.0005146622,0.0002887648,0.01323354,0.01143084],"study_design_scores_gemma":[0.0003535645,0.00008257334,0.9629009,0.000002072202,0.000002772047,0.00001051297,0.00001333707,0.003820193,0.00002926735,0.001833259,0.03086611,0.00008539241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757006,0.00001206648,0.00006533616,0.005092919,0.00005216097,0.0001317003,0.00000212797,0.00004756542,0.01889551],"genre_scores_gemma":[0.9931456,0.00002192294,0.0003796348,0.00489174,0.00003317914,0.00003883011,0.00005287047,0.000005651767,0.0014305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01763257,"threshold_uncertainty_score":0.9995648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008909051627405027,"score_gpt":0.2222430687408551,"score_spread":0.2133340171134501,"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."}}