{"id":"W6887319938","doi":"10.15468/dl.ztxsn6","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); Confidentiality","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":[0.0009234591,0.002093686,0.001731685,0.005242048,0.001183417,0.002966933,0.003036524,0.002305948,0.163837],"category_scores_gemma":[0.006193172,0.0009887706,0.001522345,0.01019823,0.0004563914,0.002706792,0.002800035,0.002181088,0.2515171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643811,"about_ca_system_score_gemma":0.002467274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910701,"about_ca_topic_score_gemma":0.03114928,"domain_scores_codex":[0.9988494,0.0001558144,0.0001473048,0.0004233754,0.0002337604,0.0001904176],"domain_scores_gemma":[0.9976036,0.0006531561,0.0001938199,0.000667876,0.0006117694,0.0002698149],"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":[0.00003095362,0.00001177988,0.0003817522,0.0006379698,0.00001652297,0.00001672803,0.00002275648,0.0001206146,0.0001200138,0.0003499504,0.9965952,0.001695765],"study_design_scores_gemma":[0.00006862837,0.000009209271,0.001617823,0.0002161227,0.00001640232,0.00004389075,0.00007157398,0.0001866116,0.0001943535,0.0007894788,0.9967684,0.00001772351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004960122,0.00004544932,0.00005620163,0.00004831678,0.00001692627,0.00000711307,0.9984087,0.0005626816,0.0008050246],"genre_scores_gemma":[0.0001587741,0.00004543422,0.0002170557,0.00006068584,0.000004325086,0.00004441819,0.9987968,0.0001675184,0.0005050066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.836163,"threshold_uncertainty_score":0.5480893,"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."}}