{"id":"W6905903973","doi":"10.15468/dl.q32mjt","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; Listing (finance); Matching (statistics); Range (aeronautics)","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":[0.0009146458,0.001871067,0.001524267,0.004937913,0.001156536,0.00266368,0.002768246,0.001872114,0.2276871],"category_scores_gemma":[0.006218734,0.000984292,0.001251155,0.009251193,0.000406619,0.002719037,0.002932592,0.001910582,0.2959608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825939,"about_ca_system_score_gemma":0.00249559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02559016,"about_ca_topic_score_gemma":0.04370526,"domain_scores_codex":[0.9989743,0.0001220759,0.0001249114,0.0003495562,0.0002433273,0.0001858568],"domain_scores_gemma":[0.9975625,0.0006118708,0.0002052305,0.0006201565,0.0007186779,0.0002815892],"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":[0.00002689404,0.000007881936,0.000333419,0.0004489494,0.00001070149,0.0000143975,0.00002071485,0.00008069956,0.0001057838,0.000356728,0.9970277,0.001566314],"study_design_scores_gemma":[0.00005088918,0.000006057668,0.001569403,0.0001783963,0.00001055238,0.00003628242,0.00006381247,0.0001164864,0.0001770482,0.0007267693,0.9970492,0.00001506935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003148196,0.00002156672,0.00005356696,0.00003415372,0.00001175338,0.000005366824,0.9984311,0.0004990272,0.0009118937],"genre_scores_gemma":[0.0001510261,0.00003297049,0.0002421377,0.00005198648,0.000003751765,0.00004073433,0.9985982,0.0002365622,0.0006426589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7723129,"threshold_uncertainty_score":0.7616893,"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."}}