{"id":"W6887150531","doi":"10.15468/dl.nsdkhw","title":"Occurrence Download","year":2018,"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); Identification (biology)","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":[0.0009706254,0.00199918,0.001540697,0.005400212,0.000929122,0.002590639,0.002794948,0.001983073,0.1364134],"category_scores_gemma":[0.005743655,0.0008177462,0.00116589,0.01016571,0.0004201465,0.002232395,0.002607804,0.001983249,0.2070355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549906,"about_ca_system_score_gemma":0.00239885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205801,"about_ca_topic_score_gemma":0.03588526,"domain_scores_codex":[0.9989471,0.0001425287,0.0001372247,0.0003480312,0.0002405393,0.0001845968],"domain_scores_gemma":[0.9975299,0.0006200691,0.0002545827,0.0006564268,0.000632621,0.0003064148],"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":[0.00002985959,0.00001145197,0.0003995645,0.0005059968,0.00001558304,0.00001440541,0.00002014563,0.0001114733,0.0001025376,0.000356283,0.9970394,0.001393277],"study_design_scores_gemma":[0.00007441136,0.00000870042,0.002001348,0.0001935069,0.00001516699,0.00003858515,0.00006307854,0.0001443501,0.0001785969,0.0007534366,0.9965122,0.00001665809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004368609,0.00003070559,0.00003774706,0.00003553903,0.00001158969,0.000005162495,0.9988943,0.000337843,0.0006034429],"genre_scores_gemma":[0.0001459889,0.00003269632,0.0001551463,0.00004164777,0.000003655351,0.00003279369,0.9990803,0.0001035751,0.0004041577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8635866,"threshold_uncertainty_score":0.4563482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}