{"id":"W6887263400","doi":"10.15468/dl.v3w6bm","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); State (computer science); Confidentiality","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":[0.0009848385,0.002017064,0.001517868,0.00482953,0.001024903,0.002448326,0.002923576,0.002163198,0.1546524],"category_scores_gemma":[0.005692699,0.0008921765,0.001179707,0.009024683,0.0004666538,0.002435431,0.002555083,0.002084252,0.2113431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580464,"about_ca_system_score_gemma":0.002202506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02129687,"about_ca_topic_score_gemma":0.03730034,"domain_scores_codex":[0.9989875,0.0001448442,0.0001234533,0.0003567496,0.0002191346,0.0001682286],"domain_scores_gemma":[0.9975606,0.0006905047,0.0002252778,0.0006670065,0.000574674,0.0002819213],"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":[0.00002790434,0.00001235356,0.0003580536,0.0004811475,0.00001352441,0.00001440557,0.00002315865,0.0001314173,0.0001092899,0.0003717612,0.9971027,0.001354264],"study_design_scores_gemma":[0.00007303432,0.000008617885,0.00182259,0.000178317,0.00001318091,0.00003850628,0.00007648619,0.0001691227,0.0001861392,0.0008080393,0.9966078,0.00001827794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004813004,0.00002718974,0.00005017238,0.00003918325,0.00001387352,0.000005571089,0.9987358,0.0004044006,0.0006756804],"genre_scores_gemma":[0.0001654891,0.00003033987,0.0002066526,0.00004460416,0.000003612753,0.00004136217,0.998896,0.0001441522,0.0004678497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8453476,"threshold_uncertainty_score":0.5173637,"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."}}