{"id":"W6905815289","doi":"10.15468/dl.k9mfmw","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); Order (exchange); Column (typography)","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":[0.0009518552,0.001977937,0.001628331,0.004909988,0.00100964,0.002521373,0.002841843,0.002144836,0.1578682],"category_scores_gemma":[0.005729382,0.0009204829,0.00120588,0.009503799,0.0004460753,0.002238697,0.002625505,0.001995926,0.2241919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165007,"about_ca_system_score_gemma":0.002351976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02183428,"about_ca_topic_score_gemma":0.03574413,"domain_scores_codex":[0.9989865,0.0001279906,0.000125445,0.0003538686,0.0002350904,0.0001711224],"domain_scores_gemma":[0.9977017,0.0006274929,0.0002210068,0.0006121469,0.0005681049,0.0002694886],"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":[0.00002868978,0.00001095637,0.0003786403,0.0005036508,0.00001459086,0.00001487728,0.00002446193,0.0001263607,0.0001246334,0.0003850864,0.9969411,0.001446812],"study_design_scores_gemma":[0.00007323075,0.00000798578,0.001859763,0.0001864548,0.0000144695,0.00003834447,0.00007162557,0.0001632864,0.0002000131,0.0007703327,0.9965968,0.00001773337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000413938,0.00002603471,0.00004768311,0.00003425487,0.00001127267,0.000005062906,0.9987888,0.0004289428,0.0006167094],"genre_scores_gemma":[0.0001603947,0.00003089711,0.0002062407,0.00004392115,0.00000315036,0.00003992996,0.9989058,0.0001672543,0.0004424886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8421318,"threshold_uncertainty_score":0.5281218,"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."}}