{"id":"W6924813647","doi":"10.15468/dl.ud5v3s","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; The Internet","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":[0.001139464,0.001983598,0.001677011,0.005303563,0.001079377,0.002879113,0.002951406,0.002065745,0.1814901],"category_scores_gemma":[0.006773231,0.001013373,0.001184339,0.01047378,0.0004681833,0.002498755,0.002740611,0.002114878,0.2489591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657201,"about_ca_system_score_gemma":0.002497017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02240408,"about_ca_topic_score_gemma":0.0365625,"domain_scores_codex":[0.9988185,0.0001589942,0.0001560323,0.0004119448,0.0002647,0.0001899613],"domain_scores_gemma":[0.9971585,0.0008279859,0.0002640656,0.000738728,0.0006863648,0.0003243753],"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":[0.00002675304,0.0000097012,0.0003313668,0.000498688,0.00001374049,0.00001365043,0.00002393062,0.0001086484,0.0001048542,0.0003902848,0.9972083,0.001270091],"study_design_scores_gemma":[0.00006455243,0.000006699973,0.001589875,0.0001882204,0.00001359608,0.00003331336,0.00007032869,0.0001283006,0.0001669199,0.0007763634,0.9969447,0.00001705346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003250915,0.00002172494,0.00004540388,0.00003205472,0.00001093865,0.000004441434,0.998886,0.0003453811,0.0006216234],"genre_scores_gemma":[0.0001387349,0.00003164209,0.0001940482,0.00004253298,0.000003302944,0.00003939815,0.9988845,0.0001744206,0.0004912903],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8185099,"threshold_uncertainty_score":0.6071449,"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."}}