{"id":"W6943250975","doi":"10.15468/dl.y3xksn","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009241975,0.002072522,0.001514004,0.005029361,0.0009554733,0.002465694,0.002571871,0.001952601,0.1622661],"category_scores_gemma":[0.00594556,0.0008687865,0.001210253,0.009920056,0.000442098,0.002097522,0.00246802,0.001764564,0.220949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147621,"about_ca_system_score_gemma":0.002291725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072525,"about_ca_topic_score_gemma":0.03279119,"domain_scores_codex":[0.9989653,0.0001407416,0.0001326747,0.0003706289,0.0002163515,0.0001743243],"domain_scores_gemma":[0.9975896,0.0007006415,0.0002352244,0.000602745,0.000602078,0.0002697275],"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":[0.00003266383,0.0000116467,0.0004179447,0.0005498437,0.00001446335,0.00001478022,0.00002144282,0.0001319526,0.0001229967,0.0003415446,0.9968917,0.001449059],"study_design_scores_gemma":[0.00008042345,0.00001112779,0.001991252,0.000197196,0.00001601234,0.00003837486,0.00006965203,0.0001611478,0.0002055525,0.0007742407,0.9964358,0.00001932248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004595135,0.00002734497,0.0000373894,0.0000332365,0.00001234329,0.000005017989,0.9988764,0.0003531538,0.0006091749],"genre_scores_gemma":[0.0001653847,0.00003475105,0.0001828997,0.00004547631,0.000003804679,0.00004227022,0.9989046,0.000144497,0.0004763144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8377339,"threshold_uncertainty_score":0.5428342,"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."}}