{"id":"W6906128175","doi":"10.15468/dl.ynufwp","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","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":[0.001035909,0.001946937,0.001634816,0.005107867,0.0009980139,0.002589061,0.002830676,0.00211223,0.1664803],"category_scores_gemma":[0.006466635,0.0009289374,0.001199126,0.009740983,0.000451165,0.002377042,0.00257073,0.00202735,0.2171406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493753,"about_ca_system_score_gemma":0.002327549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081548,"about_ca_topic_score_gemma":0.03501082,"domain_scores_codex":[0.9989275,0.0001538143,0.0001417276,0.0003788246,0.0002265269,0.000171626],"domain_scores_gemma":[0.9972981,0.0008044801,0.0002521118,0.0007002384,0.0006433629,0.0003016388],"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":[0.00003094081,0.0000116195,0.0003760404,0.0006023398,0.00001608559,0.00001592806,0.00002393252,0.0001222537,0.0001140367,0.0003758563,0.9969736,0.00133734],"study_design_scores_gemma":[0.00007825332,0.00000837357,0.001844558,0.0002041357,0.00001542508,0.00003767792,0.00007060677,0.0001336225,0.0001743104,0.0007831839,0.9966312,0.00001855948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003815286,0.00002632147,0.00004161903,0.00003493682,0.00001134782,0.000005238791,0.9989347,0.0003288949,0.0005789006],"genre_scores_gemma":[0.00016412,0.00003419425,0.0001926166,0.00004799905,0.000003640454,0.00004373148,0.9989105,0.0001437619,0.0004593491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8335197,"threshold_uncertainty_score":0.5569322,"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."}}