{"id":"W6943777320","doi":"10.15468/dl.mg34as","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); Alien; 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":[0.0009828218,0.001928636,0.001536568,0.004881112,0.0009954703,0.002495611,0.002669538,0.002149046,0.1605792],"category_scores_gemma":[0.006034046,0.0008594217,0.001223025,0.009071735,0.0004572381,0.002231402,0.002523627,0.00192129,0.2279439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489661,"about_ca_system_score_gemma":0.002201369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971129,"about_ca_topic_score_gemma":0.03190516,"domain_scores_codex":[0.9990242,0.0001387738,0.0001220416,0.0003432973,0.0002107926,0.0001609006],"domain_scores_gemma":[0.9974382,0.0007744481,0.0002208047,0.0006676481,0.0006153737,0.0002835162],"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":[0.00002900931,0.00001230535,0.0004221562,0.0005607233,0.00001421342,0.00001621834,0.00002381087,0.0001363613,0.0001208017,0.0003289191,0.996842,0.001493476],"study_design_scores_gemma":[0.00008027346,0.00001051969,0.002192691,0.0002262137,0.00001596128,0.0000406874,0.00008795145,0.0001949941,0.0002078029,0.0008046577,0.9961189,0.0000194477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004877182,0.00002837192,0.00004408311,0.00003975109,0.00001393693,0.000006118031,0.9987919,0.0003986546,0.000628497],"genre_scores_gemma":[0.0001769524,0.00003449142,0.0002035884,0.00004983052,0.000004173134,0.00004904413,0.998871,0.0001425472,0.0004683574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8394208,"threshold_uncertainty_score":0.5371909,"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."}}