{"id":"W3194212056","doi":"10.1111/ddi.13386","title":"Collaboration for conservation: Assessing countrywide carnivore occupancy dynamics from sparse data","year":2021,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Occupancy; Carnivore; Geography; Leopard; Ecology; Wildlife; Wildlife management; Range (aeronautics); Camera trap; Wildlife conservation; Biology; Predation","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":[0.01486878,0.0005978707,0.0006736096,0.005265566,0.0009452218,0.002976164,0.001362554,0.0008596759,0.00185207],"category_scores_gemma":[0.04933325,0.0004839351,0.000892995,0.005722181,0.0006502105,0.00362083,0.004990522,0.0007485592,0.0003781343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137031,"about_ca_system_score_gemma":0.001881173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02610732,"about_ca_topic_score_gemma":0.03643597,"domain_scores_codex":[0.9919958,0.004774026,0.0005620987,0.001532342,0.0006456882,0.0004900525],"domain_scores_gemma":[0.9484743,0.02610763,0.01294801,0.005300642,0.004175227,0.002994211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007218921,0.00003246192,0.9783237,0.0001134342,0.0003254051,0.00005276754,0.0007896477,0.003426526,0.0001058677,0.0002469522,0.001001731,0.01550938],"study_design_scores_gemma":[0.00002454561,0.0002301757,0.9215468,0.0004295309,0.00026492,0.0002351796,0.004521724,0.06538274,0.0003522137,0.00201711,0.004930713,0.00006440197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750368,0.0006431012,0.01133606,0.0008941719,0.0000253293,0.0001601855,0.009128833,0.0001724177,0.002603144],"genre_scores_gemma":[0.9789164,0.0001417328,0.01524193,0.00006648207,0.00001497053,0.0002047657,0.005171587,0.00002588216,0.0002161893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02610732,"threshold_uncertainty_score":0.07863456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04073517006247405,"score_gpt":0.2626212915102466,"score_spread":0.2218861214477726,"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."}}