{"id":"W6961883730","doi":"10.15468/dl.m499fa","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); 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":[0.001013483,0.001894846,0.001528654,0.004578736,0.001095623,0.002514431,0.002896593,0.002170602,0.1639463],"category_scores_gemma":[0.006203752,0.0009130721,0.001242558,0.008644721,0.0004603631,0.002295709,0.002664074,0.002043967,0.2230888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590238,"about_ca_system_score_gemma":0.002377779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206548,"about_ca_topic_score_gemma":0.03711906,"domain_scores_codex":[0.998998,0.0001335206,0.0001277336,0.000350436,0.000227392,0.0001629057],"domain_scores_gemma":[0.9975057,0.0007040125,0.0002172681,0.0006892411,0.0006094121,0.000274328],"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":[0.00002758821,0.00001135704,0.0003695544,0.0004522658,0.00001392854,0.00001360352,0.0000233385,0.000118163,0.0001076455,0.0003529375,0.9970415,0.001468144],"study_design_scores_gemma":[0.00007672404,0.000008617801,0.001942719,0.0002042687,0.00001493564,0.00003913057,0.00007823923,0.0001771679,0.0001966446,0.0008542586,0.9963889,0.00001833568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004572196,0.00002757525,0.00005161369,0.000040526,0.00001321943,0.000005624775,0.9987645,0.0004313769,0.0006197797],"genre_scores_gemma":[0.0001589945,0.00003063111,0.0002240461,0.0000462057,0.000003361365,0.00004343921,0.998867,0.0001549266,0.0004713119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8360537,"threshold_uncertainty_score":0.5484549,"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."}}