{"id":"W6943641682","doi":"10.15468/dl.wqebfy","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001101302,0.002115968,0.00178393,0.005837412,0.0009974317,0.002797864,0.002908577,0.001945976,0.1929458],"category_scores_gemma":[0.006102922,0.001019273,0.001226957,0.01010979,0.0004727042,0.002358918,0.003155536,0.001930665,0.262702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607586,"about_ca_system_score_gemma":0.002398098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969145,"about_ca_topic_score_gemma":0.03138498,"domain_scores_codex":[0.9989772,0.0001217265,0.0001271759,0.0003368131,0.0002372718,0.000199899],"domain_scores_gemma":[0.9974471,0.0006358909,0.0002477561,0.0007046845,0.0006445025,0.0003200401],"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":[0.00003361892,0.00001004722,0.000334595,0.0006468456,0.00001536244,0.00001498954,0.00002219148,0.00009391228,0.0001491851,0.0003544968,0.9968389,0.001485651],"study_design_scores_gemma":[0.00007455076,0.000008423272,0.0018922,0.0002349304,0.0000147686,0.00003630716,0.00006119012,0.0001046639,0.0002204407,0.0006698946,0.9966648,0.00001779642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002834298,0.00002150345,0.00003304245,0.00002490096,0.000009349402,0.000005304766,0.998903,0.0003870556,0.0005874591],"genre_scores_gemma":[0.0001300898,0.00003276177,0.0001668122,0.00004305398,0.000003119204,0.00004215132,0.999003,0.000175991,0.0004030512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8070542,"threshold_uncertainty_score":0.6454679,"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."}}