{"id":"W4403400657","doi":"10.1111/conl.13062","title":"Collaborative conservation for snow leopards: Lessons learned from successful community‐based interventions","year":2024,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"MaRS; Canadian Institute for Advanced Research","funders":"Darwin Initiative; Whitley Fund for Nature","keywords":"Snow leopard; Psychological intervention; Geography; Environmental resource management; Environmental planning; Wildlife conservation; Biodiversity conservation; Ecology; Habitat; Biodiversity; Environmental science; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008401649,0.0002261712,0.0002263386,0.0001225818,0.0006717279,0.0002096543,0.0003259495,0.000152083,0.001108959],"category_scores_gemma":[0.0004883187,0.0002453791,0.0001842822,0.0006985805,0.0003742335,0.0007739252,0.00008438035,0.0003592923,0.000351772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002632365,"about_ca_system_score_gemma":0.0001083341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001876024,"about_ca_topic_score_gemma":0.004230413,"domain_scores_codex":[0.9980603,0.0005446423,0.0004798653,0.0004207975,0.0002160194,0.0002783633],"domain_scores_gemma":[0.9972564,0.002031676,0.0001762052,0.000384847,0.00007493832,0.000075948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002236861,0.0002710893,0.4014899,0.0001908691,0.0002040053,0.00001162431,0.001810163,0.002304948,0.02228258,0.003860887,0.5602045,0.007145774],"study_design_scores_gemma":[0.002020366,0.000229607,0.6789259,0.0006651991,0.0003009692,0.000002858227,0.001042705,0.06475713,0.003651063,0.01031361,0.2372672,0.000823417],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6742962,0.00004744434,0.07690427,0.246847,0.0005372204,0.0005858729,0.0002378253,0.000230205,0.0003139778],"genre_scores_gemma":[0.93038,0.00001539334,0.00576169,0.06039225,0.0001146013,0.0006547954,0.001987892,0.00004314684,0.0006501795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3229373,"threshold_uncertainty_score":0.9999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06924503338032272,"score_gpt":0.3211994094590489,"score_spread":0.2519543760787262,"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."}}