{"id":"W6905938229","doi":"10.15468/dl.nqfju6","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); Set (abstract data type); 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":[0.001033036,0.001867881,0.001650708,0.005132416,0.0009241372,0.002453668,0.002717953,0.001986199,0.1546859],"category_scores_gemma":[0.006307756,0.0008853881,0.001205561,0.01051198,0.0004321214,0.002083688,0.002372836,0.001896541,0.2015976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498088,"about_ca_system_score_gemma":0.002273775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089989,"about_ca_topic_score_gemma":0.03364018,"domain_scores_codex":[0.9989442,0.0001471312,0.000145417,0.0003591921,0.0002320708,0.0001720174],"domain_scores_gemma":[0.9973737,0.0007779544,0.000251254,0.0006604221,0.0006460439,0.0002906363],"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":[0.00003303659,0.00001165519,0.0004454044,0.000624428,0.00001831518,0.00001630751,0.00002331799,0.0001397754,0.000128219,0.0003830395,0.9967258,0.001450735],"study_design_scores_gemma":[0.00008922187,0.000009374339,0.002290414,0.0002216906,0.00001785879,0.00004071647,0.000072374,0.0001551079,0.0001937745,0.0008047348,0.9960856,0.00001892506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003983477,0.00002605091,0.000037181,0.00003026013,0.000009903674,0.000004732392,0.9990613,0.0002876318,0.0005031151],"genre_scores_gemma":[0.0001629442,0.00003273046,0.0001709599,0.00004085443,0.000003334503,0.00004000177,0.9990566,0.0001190831,0.000373426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8453141,"threshold_uncertainty_score":0.5174757,"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."}}