{"id":"W6887253988","doi":"10.15468/dl.tszmuw","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); Range (aeronautics); Download; Key (lock)","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":[0.000858978,0.001986224,0.001570768,0.005030354,0.0009118079,0.002464944,0.002633817,0.001860757,0.1687665],"category_scores_gemma":[0.005370736,0.0009393042,0.001111354,0.009984414,0.0004168981,0.002213934,0.002512461,0.001835821,0.2238559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460056,"about_ca_system_score_gemma":0.002227227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01950479,"about_ca_topic_score_gemma":0.03395847,"domain_scores_codex":[0.9989849,0.0001308261,0.0001344083,0.0003611526,0.0002166635,0.0001720172],"domain_scores_gemma":[0.9976579,0.0006186863,0.0002390916,0.0006023932,0.0005963872,0.0002855549],"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":[0.00003298929,0.00001103874,0.0003641104,0.0005498815,0.00001422521,0.00001360597,0.00002032274,0.0001076743,0.0001186921,0.0003661864,0.9970298,0.001371446],"study_design_scores_gemma":[0.00007768521,0.000008957896,0.001854421,0.0001747894,0.00001395606,0.00003499234,0.00005853148,0.000123311,0.0001720188,0.0007319765,0.9967316,0.00001768755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003711499,0.00002329955,0.00003389858,0.0000278328,0.00001021148,0.000004527049,0.9989742,0.0002880091,0.000600814],"genre_scores_gemma":[0.0001443924,0.00003278442,0.00016831,0.00004616049,0.000003389934,0.00003795538,0.9989437,0.0001259371,0.000497468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8312335,"threshold_uncertainty_score":0.5645803,"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."}}