{"id":"W6887279410","doi":"10.15468/dl.yrahzu","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; State (computer science)","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":[0.000998071,0.001967657,0.001596173,0.00486346,0.001016333,0.002581568,0.002784616,0.002143093,0.1647204],"category_scores_gemma":[0.00638567,0.0008940149,0.001268287,0.008965634,0.0004395604,0.002371887,0.002521178,0.001975266,0.2239995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156382,"about_ca_system_score_gemma":0.002291001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070501,"about_ca_topic_score_gemma":0.03227141,"domain_scores_codex":[0.9989718,0.0001439123,0.0001271873,0.0003676608,0.0002194702,0.0001700162],"domain_scores_gemma":[0.9974205,0.000781868,0.0002240928,0.0006605948,0.0006379987,0.0002748168],"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":[0.00002844213,0.00001151438,0.0003820162,0.0005454875,0.00001406965,0.00001497481,0.00002188814,0.0001205706,0.0001129593,0.0003355638,0.9969958,0.001416828],"study_design_scores_gemma":[0.00007768432,0.000009661356,0.001961452,0.0002228989,0.00001553389,0.00003791086,0.00007840598,0.0001811402,0.0002010055,0.0007981014,0.996398,0.00001823332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004427587,0.00002984264,0.00004510786,0.00004127784,0.00001323392,0.000006176745,0.9987682,0.0004283042,0.0006235079],"genre_scores_gemma":[0.0001739158,0.00003657505,0.000203608,0.00005312384,0.000004092913,0.00004902397,0.9988394,0.000158635,0.0004816387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8352796,"threshold_uncertainty_score":0.5510448,"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."}}