{"id":"W6924365704","doi":"10.15468/dl.rat3xg","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Pattern matching; Identification (biology)","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":[0.001428723,0.001467937,0.00127617,0.005121277,0.001139091,0.003039063,0.00268586,0.002464354,0.223764],"category_scores_gemma":[0.01017862,0.0008362505,0.0009494898,0.008775466,0.0005709948,0.002103984,0.00278519,0.002278307,0.2491381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002106498,"about_ca_system_score_gemma":0.003322437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0260346,"about_ca_topic_score_gemma":0.04482201,"domain_scores_codex":[0.9988035,0.0001907354,0.0001735565,0.0003444324,0.0002995006,0.0001882627],"domain_scores_gemma":[0.9956944,0.001626522,0.0004143858,0.0009076821,0.0009570436,0.0004000195],"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":[0.00001888744,0.000007151574,0.0002748501,0.000377138,0.000007458919,0.00001373358,0.00002213601,0.00008034174,0.00004678335,0.0004744536,0.9974958,0.001181299],"study_design_scores_gemma":[0.00005248689,0.000004378421,0.001176343,0.000246815,0.00000859902,0.00002966477,0.00006951347,0.00008507252,0.0001059466,0.0008310181,0.997377,0.00001305021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002873094,0.00002740609,0.00004265604,0.0000663887,0.00001349356,0.000006284527,0.9985487,0.0002549686,0.001011422],"genre_scores_gemma":[0.0001975139,0.00005094441,0.0002481515,0.00009396725,0.000005993821,0.00006568529,0.9982761,0.0001682552,0.0008933595],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7762359,"threshold_uncertainty_score":0.7485653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658931671354574,"score_gpt":0.2358516697501314,"score_spread":0.2192623530365857,"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."}}