{"id":"W6906033988","doi":"10.15468/dl.yyevak","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cervus elaphus; Cervus; Range (aeronautics); Matching (statistics); Amino acid residue","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007924277,0.002304896,0.001893874,0.005945735,0.001153777,0.003433746,0.002340243,0.002199263,0.3697592],"category_scores_gemma":[0.005560016,0.0008246668,0.00158465,0.008435235,0.0003331079,0.003076045,0.0031817,0.001994346,0.4450606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510368,"about_ca_system_score_gemma":0.002403554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01992881,"about_ca_topic_score_gemma":0.0370557,"domain_scores_codex":[0.9989213,0.0001215007,0.0001544573,0.000383795,0.0002356114,0.0001833779],"domain_scores_gemma":[0.9973616,0.0006705559,0.0001939694,0.0006569923,0.0007476837,0.0003692243],"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":[0.00004607706,0.0000177119,0.000308312,0.0004825082,0.00001142466,0.00001737684,0.00002050875,0.000102172,0.00009574514,0.0004382097,0.9944658,0.003994092],"study_design_scores_gemma":[0.00007795158,0.00001208033,0.001395749,0.0001670234,0.00001254146,0.00003916043,0.00006521583,0.0002816914,0.0001547052,0.001062034,0.9967091,0.00002267061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005812848,0.00005386228,0.0001296675,0.00007133457,0.00003491515,0.0000140364,0.99546,0.001537,0.002641081],"genre_scores_gemma":[0.0002509772,0.00007091118,0.0006217199,0.0001163826,0.00001172512,0.00006437648,0.9966092,0.0003984722,0.001856262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6302408,"threshold_uncertainty_score":0.898962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}