{"id":"W6905887872","doi":"10.15468/dl.uafain","title":"Occurrence Download","year":2016,"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); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.000870105,0.002196037,0.00168546,0.005154693,0.0009075034,0.002626419,0.002986537,0.001900234,0.1410698],"category_scores_gemma":[0.005726917,0.0009222584,0.001245592,0.01052091,0.0004248619,0.002400025,0.002734539,0.001880327,0.2126247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612975,"about_ca_system_score_gemma":0.002462807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02433504,"about_ca_topic_score_gemma":0.04117478,"domain_scores_codex":[0.9989278,0.0001361746,0.000142703,0.0003725241,0.0002438635,0.0001769155],"domain_scores_gemma":[0.9977571,0.000560082,0.0002409186,0.0005928121,0.0005767797,0.0002722459],"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":[0.00003090109,0.00001000073,0.0003989073,0.0005282714,0.0000161212,0.00001469707,0.00002132839,0.0001229152,0.0001075993,0.000393564,0.9969234,0.001432365],"study_design_scores_gemma":[0.00006733551,0.000008061391,0.001750294,0.000179498,0.00001524734,0.00003940657,0.00005581234,0.0001439833,0.000185903,0.0007692135,0.9967673,0.00001792885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004343593,0.000033351,0.00004144737,0.0000324007,0.00001172514,0.000004368866,0.9988031,0.0003873965,0.0006426351],"genre_scores_gemma":[0.0001441361,0.00003881054,0.0001632275,0.0000396214,0.000003178498,0.00003191013,0.9989637,0.0001322546,0.000483119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8589302,"threshold_uncertainty_score":0.4719254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}