{"id":"W6887069925","doi":"10.15468/dl.ssr64w","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); The Internet; Set (abstract data type)","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":[0.001088975,0.00200072,0.001622539,0.005361025,0.001102232,0.002801002,0.00296533,0.002105219,0.1738803],"category_scores_gemma":[0.006456988,0.000999295,0.00120103,0.01040813,0.0004772136,0.002601017,0.002732841,0.002136958,0.2318829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660118,"about_ca_system_score_gemma":0.002507322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02389358,"about_ca_topic_score_gemma":0.03987464,"domain_scores_codex":[0.998832,0.0001585654,0.0001551394,0.0004048414,0.0002616117,0.0001878093],"domain_scores_gemma":[0.9972282,0.000798496,0.0002495493,0.0007415453,0.0006681269,0.0003140628],"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":[0.00002713597,0.00001029982,0.0003268773,0.0004783907,0.00001354804,0.0000149027,0.0000251072,0.0001078901,0.0001038327,0.0004030331,0.9972286,0.001260333],"study_design_scores_gemma":[0.00006291953,0.000006582019,0.001581801,0.0001737592,0.0000126943,0.00003529237,0.00007343302,0.0001227758,0.0001619408,0.0007590741,0.9969925,0.0000172497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003533107,0.00002222257,0.00004692871,0.00003507482,0.00001184158,0.000004854227,0.998821,0.0003643453,0.0006584065],"genre_scores_gemma":[0.0001383489,0.00003035764,0.0001945604,0.00004315901,0.000003193608,0.0000374721,0.9989074,0.0001654747,0.0004799728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8261197,"threshold_uncertainty_score":0.5816876,"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."}}