{"id":"W6924744570","doi":"10.15468/dl.vaz2q7","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; Matching (statistics); Range (aeronautics); Data set","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":[0.000952616,0.001901448,0.00152455,0.005124174,0.0009287821,0.002439807,0.002747395,0.002016019,0.154723],"category_scores_gemma":[0.005703237,0.000835489,0.001182933,0.01009904,0.0004437437,0.002131349,0.002487499,0.001842792,0.2222785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015018,"about_ca_system_score_gemma":0.002466735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218165,"about_ca_topic_score_gemma":0.03644742,"domain_scores_codex":[0.998925,0.0001473791,0.0001422293,0.0003557797,0.0002454665,0.0001842262],"domain_scores_gemma":[0.9976568,0.0005964352,0.000227723,0.0006334417,0.0006089283,0.0002766088],"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":[0.00003193701,0.00001097653,0.0003767158,0.0005285353,0.00001613619,0.00001402822,0.00002029628,0.0001289899,0.0001251315,0.0003610628,0.9968624,0.001523755],"study_design_scores_gemma":[0.00007049352,0.00000840505,0.001918972,0.0001903699,0.00001522669,0.00003709557,0.00006299767,0.0001306164,0.000198497,0.0007108378,0.9966394,0.00001716489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004044437,0.00002918666,0.00003669118,0.00003219648,0.00001080889,0.00000484327,0.9989377,0.0003085742,0.0005997007],"genre_scores_gemma":[0.0001496319,0.00003311316,0.0001526544,0.00004131187,0.000003187236,0.00003282055,0.9990569,0.0001064086,0.0004239414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.845277,"threshold_uncertainty_score":0.5175999,"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."}}