{"id":"W6943358582","doi":"10.15468/dl.spvkzp","title":"Occurrence Download","year":2023,"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; Listing (finance); Matching (statistics); 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":[0.0009102221,0.001981385,0.001647324,0.006035007,0.001180497,0.003181854,0.002808053,0.001979227,0.2546274],"category_scores_gemma":[0.006509174,0.001051871,0.001431047,0.01016566,0.0003994674,0.003237006,0.003558916,0.001909143,0.3318751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697553,"about_ca_system_score_gemma":0.002241942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02321173,"about_ca_topic_score_gemma":0.03666662,"domain_scores_codex":[0.9989322,0.0001116168,0.0001342738,0.0003586478,0.0002640624,0.0001991918],"domain_scores_gemma":[0.9973436,0.0006308555,0.000226445,0.000678198,0.0008155928,0.0003052811],"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":[0.00003352593,0.000009934461,0.0004300215,0.0005484495,0.00001435951,0.00002194225,0.00002611565,0.0000866878,0.000130138,0.0004009111,0.996048,0.002249864],"study_design_scores_gemma":[0.00004654603,0.000006543569,0.001710586,0.0001908332,0.00001234287,0.00004424682,0.00007097347,0.0001285909,0.0001781512,0.0007544042,0.99684,0.00001672552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004476816,0.00003172652,0.00008169228,0.00004699159,0.000018047,0.000007693071,0.9973522,0.001040192,0.001376683],"genre_scores_gemma":[0.0002098877,0.00004856359,0.0003455924,0.00007318806,0.000006345909,0.00004438945,0.9979972,0.000460444,0.0008143139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7453727,"threshold_uncertainty_score":0.8518134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}