{"id":"W6943595523","doi":"10.15468/dl.s6wfdz","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); Species name; 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":[0.0009980268,0.001992846,0.00156225,0.00439697,0.001045279,0.002455794,0.002857224,0.00208616,0.1590695],"category_scores_gemma":[0.006197261,0.0009407614,0.001216698,0.009124123,0.0004545293,0.002213754,0.002566123,0.002035369,0.2160174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667368,"about_ca_system_score_gemma":0.002507915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02384133,"about_ca_topic_score_gemma":0.03964992,"domain_scores_codex":[0.9989849,0.0001361669,0.0001304789,0.0003540186,0.0002290931,0.0001653013],"domain_scores_gemma":[0.9975365,0.0007193198,0.0002185756,0.0006499744,0.0006064826,0.0002691517],"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":[0.00002897958,0.0000109648,0.0003589916,0.0005153107,0.00001427028,0.00001468717,0.00002608594,0.0001281048,0.0001139758,0.0003888545,0.9970521,0.001347756],"study_design_scores_gemma":[0.00007506485,0.000007866754,0.00169619,0.0001868933,0.00001437469,0.00003538489,0.00007590125,0.0001623846,0.0001955682,0.0007906497,0.9967418,0.00001781179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004103378,0.00002450461,0.00004820697,0.00003514286,0.00001150075,0.000005234377,0.9988166,0.0004066379,0.0006111797],"genre_scores_gemma":[0.0001616669,0.00003121558,0.0002258751,0.00004480363,0.000003119006,0.00004426891,0.9988729,0.0001655377,0.0004505638],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409305,"threshold_uncertainty_score":0.5321406,"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."}}