{"id":"W6905648197","doi":"10.15468/dl.mbjh22","title":"Occurrence Download","year":2021,"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":[0.0008142503,0.001912507,0.001498136,0.005010978,0.0009865053,0.002558515,0.002707901,0.001935912,0.1689282],"category_scores_gemma":[0.005589559,0.0008852636,0.001117098,0.01010004,0.000435841,0.002520687,0.002494924,0.001990601,0.2394144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789139,"about_ca_system_score_gemma":0.002353856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02812226,"about_ca_topic_score_gemma":0.04863811,"domain_scores_codex":[0.9990638,0.0001171319,0.0001132613,0.0003234547,0.0002219123,0.0001604627],"domain_scores_gemma":[0.9977208,0.0006251205,0.0002028956,0.000552804,0.0006495899,0.0002487065],"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":[0.00002279991,0.00001019782,0.0003429657,0.0004790385,0.00001169882,0.00001347047,0.00002218356,0.0001155927,0.00009048275,0.0003483469,0.9969881,0.001555054],"study_design_scores_gemma":[0.00005601699,0.000006638529,0.001585877,0.0001882783,0.00001168195,0.00003313373,0.00008041369,0.0001538115,0.0001629012,0.0007245651,0.9969801,0.00001640917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004046539,0.00002710321,0.00004793456,0.00003608728,0.00001178355,0.000005252312,0.9986393,0.0004280854,0.0007639651],"genre_scores_gemma":[0.0001675277,0.00003729425,0.0002315056,0.00004281793,0.0000036651,0.00004222814,0.9987383,0.0001716866,0.0005648936],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8310718,"threshold_uncertainty_score":0.5651211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}