{"id":"W6943606601","doi":"10.15468/dl.pzbkth","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); Data set; Set (abstract data type)","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":[0.001136977,0.002049628,0.0017023,0.004945819,0.001070576,0.002783178,0.002980153,0.002150761,0.1739931],"category_scores_gemma":[0.006595099,0.0009961649,0.001185035,0.00978926,0.0004669188,0.002406226,0.002672573,0.002148655,0.2343529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176921,"about_ca_system_score_gemma":0.002582042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02412934,"about_ca_topic_score_gemma":0.03833984,"domain_scores_codex":[0.9988738,0.0001509574,0.0001403681,0.0003943421,0.0002561297,0.0001843544],"domain_scores_gemma":[0.9973329,0.0007755008,0.0002499287,0.000687225,0.0006512727,0.0003032065],"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":[0.00002793137,0.00001018655,0.0003247868,0.0005124266,0.00001479032,0.00001388682,0.00002317481,0.0001135755,0.0001068082,0.0003850392,0.997235,0.001232362],"study_design_scores_gemma":[0.0000713899,0.000007117817,0.001639843,0.0001873494,0.00001443205,0.000033648,0.00006661344,0.0001371677,0.000187236,0.0007759421,0.9968613,0.00001794132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003239064,0.00002331447,0.00004432556,0.00003307009,0.0000105245,0.000004725531,0.998876,0.0003681934,0.0006074824],"genre_scores_gemma":[0.0001436966,0.00003124504,0.0001896472,0.00004276421,0.000003078453,0.00004228607,0.9989198,0.0001695322,0.0004578755],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8260069,"threshold_uncertainty_score":0.5820647,"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."}}