{"id":"W6943668921","doi":"10.15468/dl.wuekfq","title":"Occurrence Download","year":2020,"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":[0.001030763,0.001902148,0.001505286,0.005513981,0.0008522828,0.002312213,0.002647171,0.001871397,0.1507185],"category_scores_gemma":[0.005715183,0.0008677648,0.001089328,0.01049473,0.0004484578,0.002194116,0.002482868,0.001815084,0.2037354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523525,"about_ca_system_score_gemma":0.002308548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01904123,"about_ca_topic_score_gemma":0.03008606,"domain_scores_codex":[0.9989238,0.0001381677,0.0001471531,0.0003520341,0.0002491199,0.0001896349],"domain_scores_gemma":[0.9975781,0.0006156608,0.0002475877,0.000641399,0.0006038963,0.0003133487],"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":[0.0000337377,0.00001160926,0.0003996838,0.0005791706,0.00001543909,0.00001645646,0.00002191747,0.0001351382,0.0001456033,0.0004055491,0.9966995,0.001536262],"study_design_scores_gemma":[0.0000703222,0.000008920646,0.002066711,0.0001859002,0.0000138626,0.00003969201,0.000068481,0.0001416774,0.0002144439,0.0007105282,0.9964623,0.000017312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003913663,0.00002401319,0.00003479145,0.00003042879,0.00001025137,0.000004738038,0.9989671,0.0003127936,0.0005767946],"genre_scores_gemma":[0.0001486652,0.00002901109,0.000151332,0.00003937505,0.000003047203,0.00003165885,0.9991075,0.0001049571,0.0003843468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8492815,"threshold_uncertainty_score":0.5042037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}