{"id":"W6886941750","doi":"10.15468/dl.m35wyn","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","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":[0.001009264,0.002108027,0.001684149,0.005203029,0.001052016,0.002582746,0.002957231,0.002135727,0.1452934],"category_scores_gemma":[0.005818646,0.0009140148,0.001208229,0.01025425,0.0004664973,0.002222475,0.002632274,0.002019815,0.2055321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670781,"about_ca_system_score_gemma":0.002647489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02615702,"about_ca_topic_score_gemma":0.04479892,"domain_scores_codex":[0.9989232,0.000144554,0.00013846,0.0003659223,0.0002437275,0.0001839611],"domain_scores_gemma":[0.9975713,0.0006647567,0.0002289695,0.0006341029,0.0006091692,0.0002917498],"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":[0.00003446249,0.00001280287,0.0004134381,0.0006408268,0.00001748175,0.00001816548,0.00002686482,0.0001376882,0.0001447151,0.0004042326,0.9967195,0.00142973],"study_design_scores_gemma":[0.00007738088,0.000008625034,0.002000563,0.0002079458,0.00001630469,0.0000409958,0.00007641258,0.0001426029,0.0002094738,0.0007497405,0.9964504,0.00001958059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004202057,0.00002815102,0.00004138007,0.00003083475,0.00001046662,0.000005031115,0.9989052,0.0003508893,0.0005860569],"genre_scores_gemma":[0.0001448484,0.00003102266,0.0001730227,0.00003723284,0.000002832021,0.00003640178,0.9990591,0.00012797,0.0003875573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8547066,"threshold_uncertainty_score":0.4860548,"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."}}