{"id":"W6887046261","doi":"10.15468/dl.kbt4z7","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); Alien; 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":[0.001052882,0.002006288,0.001568034,0.004904787,0.001042386,0.002567753,0.002812525,0.002149075,0.1518029],"category_scores_gemma":[0.00643412,0.0009197328,0.001278301,0.00929141,0.0004626655,0.002386853,0.002662234,0.00203725,0.2051279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546989,"about_ca_system_score_gemma":0.002370519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078272,"about_ca_topic_score_gemma":0.03354816,"domain_scores_codex":[0.9989225,0.0001497188,0.0001335905,0.0003774842,0.0002395977,0.0001770481],"domain_scores_gemma":[0.9972728,0.000819088,0.0002368528,0.0007378579,0.0006284617,0.0003049893],"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":[0.00002892701,0.00001243961,0.0003911675,0.000538327,0.00001446493,0.00001557095,0.00002368696,0.0001308509,0.0001176709,0.0003564909,0.996978,0.00139243],"study_design_scores_gemma":[0.00008236498,0.00001027099,0.002032266,0.0002084648,0.00001500092,0.00004214944,0.00008246213,0.0001809792,0.0002054573,0.000805451,0.9963163,0.00001894328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004985573,0.00002919411,0.00004735938,0.00004388045,0.0000148782,0.00000633288,0.9987409,0.0004484526,0.0006191609],"genre_scores_gemma":[0.0001751496,0.00003426006,0.0002073461,0.00005155557,0.000004002052,0.00004763887,0.9988601,0.0001567809,0.0004632053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8481971,"threshold_uncertainty_score":0.5078313,"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."}}