{"id":"W6962380665","doi":"10.15468/dl.y8xapf","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; State (computer science)","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":[],"category_scores_codex":[0.0009655778,0.001954544,0.001611706,0.004853311,0.0009961454,0.002609052,0.002799944,0.002128536,0.1674397],"category_scores_gemma":[0.005992861,0.0009034343,0.001249696,0.009166382,0.0004429055,0.002289528,0.002518441,0.001950345,0.2303875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537426,"about_ca_system_score_gemma":0.002224886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039293,"about_ca_topic_score_gemma":0.0327982,"domain_scores_codex":[0.99902,0.0001386224,0.0001214854,0.0003485755,0.0002093048,0.000162091],"domain_scores_gemma":[0.9976041,0.0007350396,0.0002071996,0.0006048872,0.0005847841,0.0002641695],"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":[0.0000270137,0.00001165344,0.0003862258,0.0005721432,0.00001505196,0.00001596273,0.00002282659,0.0001226804,0.0001162703,0.0003377882,0.9969544,0.001417933],"study_design_scores_gemma":[0.00007671153,0.000009735149,0.001958451,0.0002236771,0.00001643556,0.00004088371,0.00008107802,0.0001816935,0.0001959551,0.0007866801,0.9964098,0.00001877061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004546725,0.00003173385,0.00004543154,0.00004082828,0.00001342215,0.000006071558,0.998778,0.0004108147,0.0006280833],"genre_scores_gemma":[0.0001765991,0.00003749633,0.0002033277,0.00005272951,0.000004134752,0.00004900819,0.9988427,0.0001524707,0.0004814457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8325603,"threshold_uncertainty_score":0.5601417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}