{"id":"W6962157798","doi":"10.15468/dl.ppwbyf","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":[0.000953629,0.002069335,0.001603633,0.004676346,0.0009632858,0.002457398,0.002854636,0.002099616,0.144302],"category_scores_gemma":[0.005684153,0.0009080717,0.001225439,0.00929364,0.0004425337,0.002201021,0.002534167,0.001966472,0.2072182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607933,"about_ca_system_score_gemma":0.002312954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02356881,"about_ca_topic_score_gemma":0.03649392,"domain_scores_codex":[0.9990171,0.0001258765,0.0001256461,0.0003445121,0.0002198847,0.0001670464],"domain_scores_gemma":[0.997815,0.0006051098,0.0002091243,0.0005819839,0.0005314257,0.0002573485],"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":[0.00003147512,0.00001194104,0.0004050854,0.0005571604,0.00001619298,0.00001636389,0.00002607489,0.0001448952,0.000136557,0.0003849842,0.9967684,0.001501008],"study_design_scores_gemma":[0.00007806439,0.000008652851,0.001958254,0.0001935347,0.00001543622,0.00003965883,0.00007600532,0.0001769165,0.0002093277,0.0007258073,0.9965003,0.000017996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004497141,0.00002642687,0.00004492362,0.00003415439,0.00001159884,0.000005148737,0.9988304,0.0004163809,0.0005860248],"genre_scores_gemma":[0.0001582493,0.00002984761,0.0001887496,0.00003957354,0.000002891011,0.00003808545,0.9990108,0.0001444149,0.0003873614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.855698,"threshold_uncertainty_score":0.4827382,"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."}}