{"id":"W6905964331","doi":"10.15468/dl.smjybp","title":"Occurrence Download","year":2023,"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); Information system; 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":[0.0009214016,0.002050174,0.001679676,0.005225874,0.0009763862,0.00254253,0.002728281,0.002009673,0.1808742],"category_scores_gemma":[0.005617702,0.0009243182,0.001194716,0.01023864,0.0004289968,0.002325855,0.002726628,0.00195503,0.2614979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558133,"about_ca_system_score_gemma":0.002315312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201645,"about_ca_topic_score_gemma":0.03733617,"domain_scores_codex":[0.99899,0.0001296399,0.0001230695,0.0003514878,0.0002322526,0.0001736218],"domain_scores_gemma":[0.9977798,0.0005690994,0.0002109557,0.0005665581,0.0005837532,0.0002897222],"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":[0.00002606672,0.000009440858,0.0003002853,0.0005239045,0.00001412379,0.00001255964,0.0000203748,0.0001005495,0.0001127869,0.0003431066,0.997174,0.001362859],"study_design_scores_gemma":[0.0000677317,0.000007684613,0.001655306,0.0001783385,0.00001381822,0.00003081435,0.00006197063,0.0001175996,0.0001754229,0.0007235155,0.9969515,0.00001638664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003252507,0.00002628864,0.00003781634,0.00002907163,0.00001004294,0.000004625083,0.9989302,0.0003364846,0.0005929811],"genre_scores_gemma":[0.0001361481,0.00003213387,0.0001691394,0.00003958321,0.000003089732,0.00003614597,0.9989805,0.0001415392,0.0004617564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8191258,"threshold_uncertainty_score":0.6050845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}