{"id":"W6943596830","doi":"10.15468/dl.mwq3jx","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":[0.001012214,0.002005977,0.001554339,0.005377369,0.001012821,0.002553422,0.002799299,0.002027607,0.1465526],"category_scores_gemma":[0.005649929,0.0008714441,0.00120399,0.01013038,0.0004551742,0.002248752,0.002605519,0.001925734,0.2118579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597701,"about_ca_system_score_gemma":0.002456164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02338111,"about_ca_topic_score_gemma":0.04006087,"domain_scores_codex":[0.9988715,0.0001558074,0.0001465771,0.000373994,0.0002588988,0.0001932382],"domain_scores_gemma":[0.9976064,0.0006103114,0.0002284458,0.0006395451,0.0006302456,0.0002849577],"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":[0.00003086618,0.00001147233,0.0003617919,0.0005026345,0.00001489052,0.00001477745,0.00002144458,0.0001193678,0.0001193703,0.0003741379,0.9970286,0.001400665],"study_design_scores_gemma":[0.0000674128,0.000008109909,0.001855858,0.0001814212,0.0000138473,0.00003737834,0.00006772571,0.00013704,0.0001949633,0.0007321765,0.9966864,0.00001767051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004304072,0.00002909497,0.0000402376,0.00003436939,0.0000112548,0.000005436176,0.9988105,0.0003524917,0.0006735983],"genre_scores_gemma":[0.0001526602,0.00003261345,0.000164985,0.00004374208,0.000003321813,0.00003626045,0.9990107,0.000119373,0.0004363914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8534474,"threshold_uncertainty_score":0.4902673,"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."}}