{"id":"W6887205380","doi":"10.15468/dl.um0zgs","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAINT; State (computer science); Matching (statistics); Range (aeronautics)","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":[0.0007063773,0.003501372,0.002286195,0.007433201,0.001246115,0.003143795,0.002432337,0.002856686,0.2482279],"category_scores_gemma":[0.004964353,0.001013808,0.002145142,0.009429967,0.0004120723,0.003388698,0.003333178,0.002105502,0.3233012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373688,"about_ca_system_score_gemma":0.002490047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02258368,"about_ca_topic_score_gemma":0.03581836,"domain_scores_codex":[0.9989447,0.0001145728,0.0001519262,0.0003676621,0.0002228797,0.00019817],"domain_scores_gemma":[0.9978555,0.0006320223,0.0001759079,0.0005248901,0.000493211,0.0003184275],"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":[0.000067085,0.00002637804,0.0004313322,0.0007838429,0.00002051581,0.0000366301,0.0000332431,0.0001930412,0.0001609543,0.0003857034,0.9942037,0.003657645],"study_design_scores_gemma":[0.0001201717,0.00002152215,0.001769286,0.0002461839,0.0000264733,0.00008873751,0.0001127241,0.0005740841,0.0002653206,0.00127672,0.9954647,0.00003409304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000107453,0.00008923399,0.0001248793,0.00005872811,0.00003765412,0.00001552337,0.9956511,0.002189838,0.001725721],"genre_scores_gemma":[0.0003000972,0.00008685037,0.0006117469,0.00009937106,0.000009804906,0.00006153018,0.9973518,0.0004258271,0.001053071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7517721,"threshold_uncertainty_score":0.8304051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}