{"id":"W6887073719","doi":"10.15468/dl.mjn5tm","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); Software; Order (exchange)","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":[0.001130057,0.001957823,0.001676337,0.005249017,0.001086306,0.002969931,0.002998119,0.002060615,0.1947115],"category_scores_gemma":[0.00710215,0.001026739,0.001194424,0.01059701,0.0004666212,0.002755104,0.002871381,0.002178445,0.259285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617861,"about_ca_system_score_gemma":0.002520621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025363,"about_ca_topic_score_gemma":0.03527004,"domain_scores_codex":[0.9987749,0.0001749507,0.0001569231,0.0004380746,0.000266066,0.0001890411],"domain_scores_gemma":[0.996954,0.0008783763,0.0002651658,0.0008364134,0.0007386509,0.0003274624],"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":[0.00002392448,0.000008949034,0.0002830645,0.0004733017,0.00001270733,0.00001213463,0.00002214874,0.00009531991,0.00008491604,0.0003851989,0.9973803,0.001218045],"study_design_scores_gemma":[0.00005714535,0.000006012648,0.001262844,0.000171857,0.00001173029,0.00002887117,0.00006185112,0.0001099745,0.0001426051,0.0008073714,0.9973241,0.00001555817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003043895,0.00002337981,0.00004875815,0.00003537194,0.00001165802,0.00000506209,0.9987308,0.0004062394,0.0007081808],"genre_scores_gemma":[0.0001371348,0.00003396067,0.0002126657,0.00004812315,0.000003480526,0.00004229627,0.9987732,0.0002104529,0.0005387752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8052886,"threshold_uncertainty_score":0.6513748,"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."}}