{"id":"W6943214972","doi":"10.15468/dl.up5kr8","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); Alien; The Internet","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":[0.0009793101,0.002010008,0.001578788,0.004471257,0.001057568,0.002625275,0.002785819,0.002245526,0.1567976],"category_scores_gemma":[0.006054982,0.0009122925,0.001333654,0.008400254,0.000455307,0.002498075,0.002602798,0.002062569,0.2235728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517401,"about_ca_system_score_gemma":0.002232899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01953304,"about_ca_topic_score_gemma":0.03317546,"domain_scores_codex":[0.998955,0.0001501748,0.0001255925,0.0003832408,0.0002189948,0.0001669027],"domain_scores_gemma":[0.9974477,0.0007557866,0.0002202542,0.0007086614,0.0005799837,0.0002875986],"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":[0.00002933132,0.00001192364,0.000368453,0.0004971842,0.00001381051,0.00001452549,0.00002078452,0.0001229377,0.0001080948,0.0003229134,0.9971685,0.001321512],"study_design_scores_gemma":[0.00008244788,0.00001049953,0.001960288,0.0002004612,0.00001523559,0.00004050422,0.00007609556,0.0001908838,0.0001962909,0.0008261246,0.9963816,0.00001940906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004886265,0.00003133254,0.00004696781,0.0000468393,0.00001598329,0.000006313248,0.9987041,0.0004547605,0.0006448037],"genre_scores_gemma":[0.0001762375,0.00003585827,0.0002127808,0.0000578244,0.000004418703,0.00004707794,0.9988115,0.0001538691,0.0005005584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8432024,"threshold_uncertainty_score":0.5245401,"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."}}