{"id":"W6924424789","doi":"10.15468/dl.ytg96g","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008581696,0.001734012,0.001434316,0.004826839,0.0009909421,0.002666735,0.002513592,0.001709856,0.1769118],"category_scores_gemma":[0.005881565,0.0008439104,0.001125274,0.009444146,0.0004009324,0.0024048,0.002461436,0.001879473,0.2515984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459076,"about_ca_system_score_gemma":0.002202504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02080339,"about_ca_topic_score_gemma":0.03320023,"domain_scores_codex":[0.9990069,0.0001292295,0.0001289746,0.0003534333,0.0002150194,0.0001663342],"domain_scores_gemma":[0.997693,0.0006285391,0.0002028018,0.0006194116,0.0006159449,0.0002403079],"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":[0.00002660395,0.000009757689,0.0004169765,0.0004791473,0.00001259599,0.00001450313,0.00002509614,0.0001270581,0.000100929,0.0003874658,0.9965003,0.001899595],"study_design_scores_gemma":[0.00004881477,0.000006330884,0.001597297,0.0001607673,0.00001102056,0.00003171256,0.00007845752,0.0001545269,0.0001590391,0.0007677518,0.9969694,0.00001489998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004722642,0.000027194,0.0000598669,0.00004091482,0.00001538436,0.000005949843,0.9983848,0.0005175219,0.0009010644],"genre_scores_gemma":[0.0001977541,0.00003835575,0.0002600653,0.00004865635,0.000004359571,0.00004502329,0.9985238,0.0001953592,0.0006866559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8230882,"threshold_uncertainty_score":0.5918288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}