{"id":"W6887108844","doi":"10.15468/dl.pg37xj","title":"Occurrence Download","year":2022,"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); State (computer science); 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":[0.001033157,0.001968486,0.001524899,0.005085906,0.001007496,0.002499179,0.002840776,0.002112852,0.1540752],"category_scores_gemma":[0.005962419,0.0008977858,0.001150843,0.00969824,0.0004616525,0.002375149,0.002603946,0.002105119,0.2087774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618871,"about_ca_system_score_gemma":0.002275428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072254,"about_ca_topic_score_gemma":0.0355713,"domain_scores_codex":[0.9989423,0.0001508549,0.0001327515,0.0003686181,0.0002306103,0.0001747783],"domain_scores_gemma":[0.9973693,0.0007509223,0.0002530958,0.0007062979,0.0006190441,0.0003011981],"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":[0.0000275714,0.0000120991,0.0003754053,0.0004905588,0.00001408424,0.00001460067,0.0000241643,0.0001316555,0.0001087399,0.0003886029,0.9970806,0.001331987],"study_design_scores_gemma":[0.00007189704,0.000008019239,0.001810943,0.0001804001,0.00001329818,0.00003669197,0.00007759125,0.0001561203,0.0001815397,0.0007903349,0.9966556,0.00001764524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004460803,0.00002520876,0.00004612533,0.00003723829,0.00001263774,0.000005304633,0.9988341,0.0003559211,0.0006389132],"genre_scores_gemma":[0.0001624448,0.00003062375,0.0002034944,0.00004394324,0.000003520227,0.00004251341,0.9989011,0.0001415308,0.0004707325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8459248,"threshold_uncertainty_score":0.5154328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}