{"id":"W6962301238","doi":"10.15468/dl.sdmcgd","title":"Occurrence Download","year":2015,"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); Sample (material); Vertebrate","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":[0.001009965,0.002011381,0.001730207,0.00621835,0.0009180908,0.002639657,0.002815886,0.001994895,0.1843796],"category_scores_gemma":[0.00649076,0.0009557169,0.001188934,0.0115108,0.00042729,0.002510423,0.002880102,0.001942331,0.2327978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681177,"about_ca_system_score_gemma":0.002426298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02129461,"about_ca_topic_score_gemma":0.03503629,"domain_scores_codex":[0.998862,0.0001371588,0.0001560612,0.0003920291,0.0002570269,0.0001956132],"domain_scores_gemma":[0.9972417,0.0007278083,0.0002865808,0.0007099338,0.0006894018,0.0003445385],"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":[0.00002920397,0.000009526184,0.0003580425,0.0005577141,0.00001563188,0.00001393354,0.00002193739,0.0001043403,0.0001069999,0.0003617141,0.9970214,0.001399673],"study_design_scores_gemma":[0.00007517915,0.000008002974,0.002026878,0.0002057585,0.00001521247,0.00003705627,0.00006562792,0.0001300607,0.0001785021,0.0006857362,0.9965551,0.00001711003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003437491,0.00002492005,0.00003715588,0.00002767143,0.000009486687,0.000004542946,0.9989634,0.0003514015,0.0005470104],"genre_scores_gemma":[0.0001421652,0.00003164613,0.0001612786,0.00003685408,0.000003269642,0.00003460071,0.9990475,0.0001375166,0.0004052898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8156204,"threshold_uncertainty_score":0.6168112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}