{"id":"W6962311555","doi":"10.15468/dl.rpcv83","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Education and Character Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005926056,0.0001643986,0.0001675144,0.00009361109,0.000741333,0.0002316726,0.0005316906,0.0003006773,0.001925179],"category_scores_gemma":[0.0002951209,0.000183596,0.00009102997,0.0005082896,0.0002240427,0.0007530868,0.0001650188,0.0002009134,0.6834955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006525795,"about_ca_system_score_gemma":0.0008128412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005230071,"about_ca_topic_score_gemma":0.0005217085,"domain_scores_codex":[0.9984347,0.000108802,0.0003001063,0.0001680567,0.0006774399,0.0003109065],"domain_scores_gemma":[0.9989627,0.00002923391,0.0002324883,0.0002599799,0.0003012097,0.0002143863],"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":[0.000006526359,0.00002140384,0.0009033764,0.000042622,0.00001494465,6.476386e-7,0.001256343,2.372097e-7,2.435403e-9,6.263692e-7,0.9965966,0.00115672],"study_design_scores_gemma":[0.0001006368,0.000005291522,0.000587313,0.000002455858,0.00001535317,2.283366e-7,0.00329569,3.864172e-9,1.792558e-7,0.000001466303,0.9957916,0.0001997934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002653913,0.000004286181,5.480152e-7,0.001518199,0.002099627,0.0002718207,0.9951188,0.0001760812,0.0005452477],"genre_scores_gemma":[0.000003577469,0.0002477267,7.345409e-7,0.0007834338,0.000004603439,0.000006345344,0.9989502,9.374792e-9,0.000003373814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6815702,"threshold_uncertainty_score":0.9989872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109375722688971,"score_gpt":0.2758823015840118,"score_spread":0.2447885443571221,"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."}}