{"id":"W6906153532","doi":"10.15468/dl.wzap86","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); Data set","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":[0.0009913883,0.001917263,0.001482367,0.005047612,0.0009406203,0.002449993,0.002758729,0.002038481,0.1486209],"category_scores_gemma":[0.005682309,0.0008945313,0.00111843,0.00977827,0.0004611898,0.002197566,0.002432861,0.002031414,0.2088558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550275,"about_ca_system_score_gemma":0.002163233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921358,"about_ca_topic_score_gemma":0.03312388,"domain_scores_codex":[0.9989799,0.0001484673,0.0001288352,0.0003627104,0.0002131891,0.0001668588],"domain_scores_gemma":[0.9975877,0.0006934999,0.0002415471,0.0006453348,0.0005525837,0.0002792834],"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":[0.00002711069,0.00001221393,0.0003861845,0.0004799673,0.00001411963,0.00001409606,0.00002242963,0.0001348094,0.0001089588,0.0003743897,0.9971258,0.001299751],"study_design_scores_gemma":[0.0000754357,0.000008590566,0.001917702,0.0001789176,0.00001385652,0.00003825226,0.00007773986,0.0001639939,0.00017514,0.0007445482,0.9965894,0.00001636538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004654682,0.00002500002,0.00004123824,0.0000342339,0.00001212565,0.000005050001,0.9989536,0.0002920474,0.000590164],"genre_scores_gemma":[0.0001609677,0.00002918173,0.0001793824,0.00003908222,0.000003572453,0.00004013641,0.9989967,0.0001131964,0.0004378619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8513792,"threshold_uncertainty_score":0.4971864,"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."}}