{"id":"W4406240139","doi":"10.1007/s10344-024-01891-3","title":"Assessing indicators of harvest sustainability in northern populations of marten (Martes americana)","year":2025,"lang":"en","type":"article","venue":"European Journal of Wildlife Research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Yukon Department of Environment","funders":"Gouvernement du Yukon","keywords":"Marten; Abundance (ecology); Range (aeronautics); Geography; Ecology; Biology; Predator; Predation; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005534038,0.0000715642,0.0002203733,0.0004971439,0.0001072986,0.00002212901,0.0004085026,0.00002795202,0.00008766761],"category_scores_gemma":[0.001791089,0.00006479458,0.0000668556,0.001468189,0.0006775012,0.0003872585,0.0001922532,0.000434004,0.000008193095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002561409,"about_ca_system_score_gemma":0.000263968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002720219,"about_ca_topic_score_gemma":0.0004982894,"domain_scores_codex":[0.9966736,0.001813436,0.0006758492,0.0001396155,0.0004635855,0.0002339294],"domain_scores_gemma":[0.9988214,0.0003498467,0.0003722767,0.0002115539,0.0001705885,0.00007432305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003894427,0.0001694165,0.984131,0.00002287984,0.00001356694,0.0000260639,0.0002355928,0.001001204,0.0001178469,0.00009270905,0.001674228,0.01247652],"study_design_scores_gemma":[0.0002866408,0.0001380408,0.9964305,0.00007033374,0.000007577963,0.000003566495,0.001278953,0.00007482895,0.00003010031,0.0006110419,0.001024405,0.00004396913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904033,0.00003970634,0.0003069082,0.004573443,0.00005250573,0.0001175649,0.000001212445,0.000002788163,0.004502588],"genre_scores_gemma":[0.9991353,0.00001014523,0.00053647,0.00009315054,0.00002089869,0.000001071977,0.00000113742,0.000007652821,0.0001941466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01243255,"threshold_uncertainty_score":0.2642246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04281108456780965,"score_gpt":0.3554379200991029,"score_spread":0.3126268355312932,"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."}}