{"id":"W6962419919","doi":"10.15468/dl.vurza6","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":"Matching (statistics); Download; Alien; Range (aeronautics); 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":[0.0008902611,0.002000612,0.001472311,0.004803083,0.0009484509,0.002395284,0.002570582,0.001853444,0.1617216],"category_scores_gemma":[0.005758911,0.0008708768,0.001180943,0.009502138,0.0004300984,0.002115202,0.002459738,0.001746583,0.2223708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139662,"about_ca_system_score_gemma":0.002226634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01966891,"about_ca_topic_score_gemma":0.03209462,"domain_scores_codex":[0.9990016,0.0001346474,0.0001249713,0.0003651952,0.0002024438,0.0001712746],"domain_scores_gemma":[0.9976908,0.0006497534,0.0002196671,0.0005971607,0.0005756094,0.0002670065],"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":[0.00003176793,0.00001139577,0.0004075947,0.0005019762,0.00001364016,0.00001357699,0.00001994469,0.0001254419,0.0001165006,0.0003363469,0.9969534,0.001468461],"study_design_scores_gemma":[0.00007964858,0.00001126862,0.002031436,0.0001900533,0.00001517003,0.00003726655,0.00006939346,0.0001629991,0.0001991193,0.0008091719,0.996376,0.00001847175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004827627,0.00002647648,0.00003980463,0.0000326261,0.0000128386,0.000004912907,0.998854,0.0003642092,0.0006168784],"genre_scores_gemma":[0.0001631251,0.00003274422,0.0001830064,0.00004470946,0.000003778462,0.00003933386,0.9989098,0.000139768,0.000483785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382784,"threshold_uncertainty_score":0.5410128,"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."}}