{"id":"W2019511105","doi":"10.1016/j.foreco.2004.11.024","title":"Small mammals as bioindicators of sustainable boreal forest management","year":2005,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":168,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Habitat; Ecology; Abundance (ecology); Taiga; Vole; Bioindicator; Forest management; Disturbance (geology); Population; Sustainable forest management; Geography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009468898,0.0001724525,0.0001802783,0.0005269545,0.0005708767,0.0005200189,0.0002802027,0.0003128905,0.001745056],"category_scores_gemma":[0.001860231,0.0001120486,0.00007071975,0.00024782,0.000637104,0.0004957358,0.000457854,0.0002338628,0.00007906902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042351,"about_ca_system_score_gemma":0.0002025201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002217448,"about_ca_topic_score_gemma":0.01239646,"domain_scores_codex":[0.9996235,0.0002465412,0.000009933639,0.00004234642,0.00003329148,0.00004439772],"domain_scores_gemma":[0.9988672,0.0003029934,0.0003757703,0.00008051313,0.00008027269,0.0002933001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003077056,0.0001100875,0.9728994,0.00003892452,0.00005459885,0.0002372485,0.0005919546,0.0000909074,0.002711681,0.0006251404,0.0002106324,0.02212177],"study_design_scores_gemma":[0.000009205063,0.0003402462,0.9956956,0.00002144092,0.00004926719,0.0004558006,0.001533147,0.0002890597,0.0002817495,0.0003778277,0.0009426943,0.000003916796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967054,0.0005719498,0.00008090161,0.00009128243,0.000008937522,0.000004412957,0.00001485491,0.00000199514,0.002520305],"genre_scores_gemma":[0.9992717,0.0001866305,0.0001622046,0.00003638081,0.000006706587,0.000003036568,0.00001105457,5.710289e-7,0.0003218513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002217448,"threshold_uncertainty_score":0.005837739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004887206241548184,"score_gpt":0.2052690644544167,"score_spread":0.2003818582128685,"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."}}