{"id":"W6905825917","doi":"10.15468/dl.pt2tqr","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); Order (exchange); 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":[0.001013081,0.001900715,0.001547649,0.005746752,0.001012432,0.002666517,0.002659717,0.001955251,0.1691792],"category_scores_gemma":[0.006027969,0.0008754731,0.001142847,0.01093742,0.0004589779,0.002297085,0.002713673,0.001924632,0.2491546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156186,"about_ca_system_score_gemma":0.002615266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190284,"about_ca_topic_score_gemma":0.03882086,"domain_scores_codex":[0.9988201,0.0001521387,0.0001500654,0.0003965907,0.0002786754,0.000202451],"domain_scores_gemma":[0.9973683,0.0006471435,0.000255323,0.0006730232,0.0007409368,0.0003153968],"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":[0.000029225,0.000009706451,0.0003567487,0.0005071381,0.00001371437,0.00001378352,0.00002301421,0.00009981524,0.0001227399,0.0003741164,0.996971,0.001478898],"study_design_scores_gemma":[0.00005295464,0.000006732786,0.001677025,0.0001723448,0.00001226567,0.00003207998,0.00006418931,0.00009712717,0.0001816131,0.0006549598,0.997033,0.00001561358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003701524,0.00002644033,0.00003850841,0.00003111169,0.00001105583,0.000004884099,0.9988267,0.0003172396,0.0007070795],"genre_scores_gemma":[0.0001503476,0.00003326384,0.0001776886,0.00004513445,0.00000357489,0.00003530461,0.9988681,0.0001395075,0.000547199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8308209,"threshold_uncertainty_score":0.5659606,"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."}}