{"id":"W6943334139","doi":"10.15468/dl.ok8zsk","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Chapel; Download; Matching (statistics); Genetic genealogy","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":[0.001116863,0.00219887,0.001829777,0.006162993,0.001176871,0.003241352,0.003134471,0.002182924,0.1947942],"category_scores_gemma":[0.007890043,0.001049385,0.001548458,0.01154409,0.0004572361,0.003003327,0.003086003,0.002101621,0.2795587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867001,"about_ca_system_score_gemma":0.002607499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02199631,"about_ca_topic_score_gemma":0.03300235,"domain_scores_codex":[0.9986842,0.0001630513,0.0001747458,0.0004853734,0.0002793042,0.0002132396],"domain_scores_gemma":[0.9969574,0.0008669785,0.0002533699,0.0008055167,0.0008039741,0.0003127403],"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":[0.00003243438,0.000009421155,0.0003775352,0.0006216996,0.00001618233,0.0000155024,0.00002319836,0.0001063198,0.0001062172,0.0003736113,0.9966266,0.001691358],"study_design_scores_gemma":[0.0000670724,0.000008128654,0.001619478,0.0002159162,0.00001458111,0.00003649189,0.00007418455,0.0001478818,0.0001757737,0.0008204558,0.9968022,0.00001788126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003377872,0.00002847947,0.00004927175,0.00003761414,0.00001316927,0.000005795863,0.9986456,0.0005322605,0.0006540442],"genre_scores_gemma":[0.0001453751,0.00003928398,0.000228614,0.00005155343,0.000004293762,0.00004834732,0.9987561,0.0002217261,0.0005047968],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8052058,"threshold_uncertainty_score":0.6516514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}