{"id":"W6905905471","doi":"10.15468/dl.reu9qq","title":"Occurrence Download","year":2017,"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); UniProt; Metadata","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":[0.0009208302,0.001979433,0.001564323,0.0054971,0.0009127837,0.002499986,0.002821609,0.001941803,0.1345445],"category_scores_gemma":[0.005430164,0.0008170311,0.001167017,0.01103027,0.0004484009,0.002179842,0.002634646,0.001921228,0.2009996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644904,"about_ca_system_score_gemma":0.002558501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0233018,"about_ca_topic_score_gemma":0.0403114,"domain_scores_codex":[0.9989733,0.0001372446,0.0001340571,0.0003377871,0.0002364266,0.0001812944],"domain_scores_gemma":[0.9976867,0.0005771273,0.0002416013,0.0006047314,0.0006098302,0.0002800564],"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":[0.0000307222,0.00001150358,0.000416821,0.0005854786,0.00001795793,0.00001573259,0.00002379166,0.0001386969,0.0001207724,0.0004090864,0.9966829,0.001546533],"study_design_scores_gemma":[0.00007107574,0.000007773651,0.001968979,0.0001981674,0.00001509071,0.00003556216,0.00006889889,0.000137907,0.0001820584,0.0007148088,0.9965822,0.00001740408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004478873,0.00003076397,0.00003753694,0.00003177475,0.00001105763,0.000004845383,0.9989626,0.000305628,0.0005710229],"genre_scores_gemma":[0.0001476731,0.00003471755,0.0001538623,0.00003603783,0.000003336263,0.00003218169,0.9991055,0.0000993291,0.0003873442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8654555,"threshold_uncertainty_score":0.4500962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}