{"id":"W6943522676","doi":"10.15468/dl.rfpqut","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; Data access","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":[0.0010887,0.00198984,0.001694533,0.005085221,0.001036558,0.002741852,0.002917309,0.002220871,0.1675081],"category_scores_gemma":[0.006653178,0.0009540851,0.001201243,0.009600865,0.0004610832,0.002448989,0.002624664,0.002118388,0.2171146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611694,"about_ca_system_score_gemma":0.002445026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02117545,"about_ca_topic_score_gemma":0.0353168,"domain_scores_codex":[0.9988715,0.0001643246,0.000144654,0.0003989614,0.0002380381,0.000182518],"domain_scores_gemma":[0.9972649,0.000832909,0.0002581205,0.0007081549,0.0006218494,0.0003140926],"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":[0.00003050957,0.00001149557,0.0003590549,0.0005514108,0.00001553789,0.00001477708,0.00002264646,0.0001229451,0.0001042825,0.0003782674,0.9971491,0.001239892],"study_design_scores_gemma":[0.00008496071,0.000008412234,0.001828528,0.000201609,0.00001553051,0.00003741647,0.00007047575,0.0001506465,0.0001772034,0.0008653068,0.9965403,0.00001956825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003590473,0.00002519191,0.00004069843,0.00003463524,0.000010646,0.000005066806,0.9989579,0.0003337521,0.0005561185],"genre_scores_gemma":[0.0001623864,0.00003303683,0.0001938923,0.00004853812,0.00000356763,0.00004408905,0.9989103,0.0001510261,0.0004531343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8324919,"threshold_uncertainty_score":0.5603703,"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."}}