{"id":"W6962079327","doi":"10.15468/dl.smjatf","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":[0.0009752965,0.001965918,0.001636777,0.004922982,0.0009999545,0.002668044,0.002828589,0.002095163,0.1493673],"category_scores_gemma":[0.005757805,0.0009292738,0.001161668,0.01004203,0.0004275521,0.002415775,0.002527393,0.002005117,0.2122447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606396,"about_ca_system_score_gemma":0.002246953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228859,"about_ca_topic_score_gemma":0.03759934,"domain_scores_codex":[0.9989435,0.0001401222,0.0001343848,0.0003699301,0.0002443063,0.0001677964],"domain_scores_gemma":[0.9977074,0.0006498991,0.0002115932,0.0005948585,0.000569262,0.0002669804],"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":[0.00002762879,0.00001106207,0.0003523769,0.0004977732,0.00001436646,0.00001448825,0.0000229163,0.0001186601,0.0001105949,0.0003949382,0.997074,0.001361119],"study_design_scores_gemma":[0.00006731872,0.000007214324,0.001795974,0.000176648,0.00001346706,0.00003609117,0.0000687003,0.0001507952,0.0001828621,0.0007656091,0.9967183,0.00001704725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004254208,0.00002792712,0.00004722948,0.00003526015,0.00001100311,0.00000484598,0.9987763,0.0003741478,0.0006806681],"genre_scores_gemma":[0.0001539905,0.00003260706,0.0001891389,0.00004148344,0.000003054315,0.00003712294,0.9989472,0.0001461627,0.0004493384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8506327,"threshold_uncertainty_score":0.4996835,"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."}}