{"id":"W6924603668","doi":"10.15468/dl.ptw2ny","title":"Occurrence Download","year":2017,"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); Herbarium; 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":[0.001021659,0.001986739,0.001573093,0.00582774,0.0009044183,0.002558739,0.002760325,0.001952485,0.1355776],"category_scores_gemma":[0.006133271,0.0008479717,0.001162446,0.01060253,0.0004393562,0.002250486,0.002712149,0.001959384,0.1983819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556625,"about_ca_system_score_gemma":0.002330129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01853828,"about_ca_topic_score_gemma":0.03350212,"domain_scores_codex":[0.9988548,0.0001537936,0.0001465534,0.0003904112,0.000262401,0.0001920443],"domain_scores_gemma":[0.9973021,0.0007184313,0.0002774442,0.0007184635,0.0006504742,0.0003331535],"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":[0.00003241397,0.00001242544,0.0004702298,0.0005816491,0.00001784666,0.00001652833,0.0000223805,0.0001357383,0.0001264248,0.0003804004,0.9966968,0.001507158],"study_design_scores_gemma":[0.00008132443,0.00001025952,0.00234649,0.0002150905,0.00001614935,0.00004319799,0.00007584861,0.000173331,0.0002066482,0.0007973477,0.9960164,0.00001778189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005134579,0.00003155888,0.00004100109,0.00003388481,0.00001160955,0.000005600874,0.9988932,0.0003571171,0.000574755],"genre_scores_gemma":[0.0001633536,0.00003304332,0.0001617353,0.00003840956,0.000003539644,0.00003563769,0.9991027,0.000106513,0.0003551907],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8644224,"threshold_uncertainty_score":0.4535523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}