{"id":"W6962462244","doi":"10.15468/dl.ura6sy","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); Download; Alien; Range (aeronautics)","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":[0.0009246609,0.00208369,0.001518776,0.005060454,0.0009781301,0.002452097,0.002603928,0.001971997,0.1606615],"category_scores_gemma":[0.00600536,0.0008876777,0.001218025,0.009834549,0.0004410185,0.002114858,0.00248899,0.001775173,0.2142358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460325,"about_ca_system_score_gemma":0.002288104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072724,"about_ca_topic_score_gemma":0.03281553,"domain_scores_codex":[0.9989649,0.0001411339,0.0001311905,0.0003740101,0.000215875,0.0001728359],"domain_scores_gemma":[0.9975635,0.0007181548,0.0002329526,0.000611102,0.0006023512,0.0002720299],"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":[0.00003368773,0.0000119995,0.0004166037,0.0005664462,0.00001464835,0.00001537918,0.00002178198,0.0001311766,0.0001269235,0.0003437359,0.9968209,0.00149666],"study_design_scores_gemma":[0.00008312934,0.00001139046,0.001990473,0.0001969484,0.0000162858,0.00003928861,0.00006974737,0.0001620011,0.0002076798,0.0007753374,0.9964284,0.00001936766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004780812,0.00002867569,0.00003928368,0.0000345064,0.00001265572,0.000005348021,0.9988187,0.00038189,0.0006310585],"genre_scores_gemma":[0.0001679742,0.00003542736,0.0001892874,0.00004765323,0.000003785696,0.00004418975,0.9988933,0.0001456704,0.00047263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8393385,"threshold_uncertainty_score":0.5374663,"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."}}