{"id":"W3036743753","doi":"10.1111/cobi.13572","title":"Wildlife collection for scientific purposes","year":2020,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Willow Biosciences (Canada)","funders":"Koneen Säätiö","keywords":"Wildlife; Geography; Ecology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008562305,0.001507838,0.002105512,0.01411855,0.005189026,0.008368423,0.003835665,0.002339864,0.3572371],"category_scores_gemma":[0.0188804,0.0009013235,0.001572553,0.01586495,0.002264661,0.005543546,0.008796325,0.004304318,0.3227911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870658,"about_ca_system_score_gemma":0.009812171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004164306,"about_ca_topic_score_gemma":0.008224371,"domain_scores_codex":[0.98774,0.002430168,0.002008883,0.002302993,0.004650586,0.0008673897],"domain_scores_gemma":[0.9681057,0.003208219,0.001894491,0.01183007,0.01294122,0.002020306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001458527,0.00008092255,0.001341926,0.001115283,0.00003757621,0.0003654483,0.0006737163,0.00006624791,0.003245853,0.005442773,0.893876,0.09360838],"study_design_scores_gemma":[0.00001669707,0.00001549925,0.001053781,0.000206013,0.000006934636,0.00013503,0.000115282,0.00003067128,0.0003664132,0.00108892,0.9969506,0.00001413271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004745583,0.00334412,0.03342933,0.004980056,0.01310178,0.009174294,0.4282009,0.01117261,0.4918513],"genre_scores_gemma":[0.01205619,0.003647992,0.06199624,0.004329839,0.003267309,0.01234119,0.5276049,0.008861009,0.3658953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3572371,"threshold_uncertainty_score":0.9168233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08937767584583219,"score_gpt":0.2786388059022062,"score_spread":0.1892611300563741,"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."}}