{"id":"W6943305072","doi":"10.15468/dl.n3tsmf","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); 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":[0.0009768226,0.001939176,0.001630203,0.005025187,0.0009895972,0.002626731,0.002808722,0.002102551,0.1554743],"category_scores_gemma":[0.005778951,0.0009193087,0.001179252,0.009724723,0.0004529883,0.002396031,0.002607865,0.002062736,0.2143861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522298,"about_ca_system_score_gemma":0.00222646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02008321,"about_ca_topic_score_gemma":0.03440627,"domain_scores_codex":[0.9989693,0.0001390853,0.0001304115,0.0003644592,0.0002237406,0.0001729636],"domain_scores_gemma":[0.9975586,0.0006793878,0.0002359088,0.0006606396,0.0005811073,0.0002842972],"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":[0.00003032465,0.00001194063,0.0004045284,0.0005576322,0.00001561396,0.00001579209,0.00002520339,0.0001342519,0.0001276701,0.0004043082,0.9968601,0.001412573],"study_design_scores_gemma":[0.00007180304,0.000007844022,0.001832832,0.0001808392,0.0000136813,0.00003644194,0.00007419968,0.0001473537,0.0001833137,0.0007875643,0.9966462,0.00001784888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004315623,0.00002543759,0.00004525578,0.00003383565,0.00001137545,0.000004958238,0.9988546,0.0003682205,0.000613069],"genre_scores_gemma":[0.0001655496,0.00003183342,0.0002054124,0.00004342399,0.000003371648,0.00003971516,0.998904,0.0001495934,0.0004570651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8445257,"threshold_uncertainty_score":0.5201133,"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."}}