{"id":"W6906123951","doi":"10.15468/dl.ycjxa5","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); 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":[0.001058433,0.002029133,0.001675843,0.005031468,0.001125294,0.002780215,0.002999664,0.002201533,0.1633744],"category_scores_gemma":[0.00613845,0.0009502047,0.001200119,0.009406647,0.0004695063,0.002453557,0.00272613,0.00207203,0.2394216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668896,"about_ca_system_score_gemma":0.002490974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231935,"about_ca_topic_score_gemma":0.03768069,"domain_scores_codex":[0.998916,0.0001438096,0.0001333758,0.0003739242,0.0002517136,0.0001811156],"domain_scores_gemma":[0.9974941,0.0006877285,0.0002209385,0.0006770298,0.0006356492,0.0002845387],"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":[0.00002612778,0.00001101557,0.0003489428,0.0004910904,0.00001357749,0.00001560503,0.00002484124,0.0001095332,0.0001209612,0.000382501,0.9971155,0.001340233],"study_design_scores_gemma":[0.000059576,0.000007135296,0.001616635,0.0001767955,0.00001330712,0.00003862687,0.00007026607,0.0001369167,0.0002003359,0.0007368574,0.9969258,0.00001787106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004274013,0.00002872632,0.00005171891,0.00003849616,0.00001298357,0.000005742798,0.9986545,0.0004401393,0.0007250148],"genre_scores_gemma":[0.0001570748,0.00003233503,0.0002075042,0.0000450045,0.000003339248,0.00004422867,0.9988325,0.0001756345,0.0005023089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8366256,"threshold_uncertainty_score":0.5465418,"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."}}