{"id":"W6905894354","doi":"10.15468/dl.p2vmim","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":[0.0007400795,0.003277715,0.002212978,0.007147887,0.001233386,0.003184567,0.002365782,0.002746752,0.2607408],"category_scores_gemma":[0.005257051,0.0009976503,0.002085806,0.009292297,0.000398238,0.003282552,0.003263433,0.002097971,0.3336202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428609,"about_ca_system_score_gemma":0.002524829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02415074,"about_ca_topic_score_gemma":0.03687921,"domain_scores_codex":[0.9989191,0.0001186024,0.000159653,0.0003694378,0.0002287403,0.0002044038],"domain_scores_gemma":[0.9976306,0.0007067637,0.0001897481,0.0005690014,0.0005638932,0.0003398879],"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":[0.00006249958,0.00002371323,0.0004114902,0.0007040828,0.00001838969,0.00003341653,0.00003063173,0.0001791042,0.0001452167,0.0003882225,0.9946553,0.003348078],"study_design_scores_gemma":[0.0001155638,0.0000191955,0.001784578,0.0002327063,0.00002475036,0.00007948276,0.0001092448,0.0005272573,0.0002523212,0.00131375,0.9955086,0.00003242368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009353806,0.00007289331,0.0001193817,0.00005904538,0.00003465945,0.00001424373,0.9958444,0.002023138,0.0017386],"genre_scores_gemma":[0.0002879295,0.00007873245,0.0005819083,0.00009947162,0.000009718327,0.00005847742,0.9974105,0.0004207255,0.001052559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7392592,"threshold_uncertainty_score":0.8722649,"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."}}