{"id":"W6924644299","doi":"10.15468/dl.qi74c7","title":"Occurrence Download","year":2015,"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); Field (mathematics); Order (exchange)","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":[0.001080862,0.001975777,0.001614072,0.005717259,0.0008866953,0.002716203,0.002824479,0.001903396,0.1534941],"category_scores_gemma":[0.006348053,0.0009093726,0.001242346,0.01111337,0.0004247914,0.002355623,0.002787421,0.001910996,0.223476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637318,"about_ca_system_score_gemma":0.002539822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02155426,"about_ca_topic_score_gemma":0.03583464,"domain_scores_codex":[0.9987946,0.000161296,0.0001662015,0.0003982643,0.0002758104,0.000203906],"domain_scores_gemma":[0.9973063,0.0006660305,0.0002833263,0.0007308642,0.0006884508,0.0003250177],"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":[0.00002950108,0.000009833388,0.0003943602,0.0005606712,0.00001740272,0.0000122706,0.0000203099,0.0001131885,0.0001050679,0.0003680442,0.9969254,0.001443874],"study_design_scores_gemma":[0.00006930507,0.000008015332,0.002031529,0.0002086216,0.00001608498,0.00003366494,0.00005845708,0.0001220309,0.0001740444,0.0006988755,0.9965628,0.00001663255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000366379,0.00003006939,0.00003699049,0.00003115444,0.00001019663,0.000004940949,0.9989408,0.0003166988,0.0005925301],"genre_scores_gemma":[0.0001409825,0.00003629979,0.0001538455,0.00004279564,0.000003356108,0.00003253414,0.9990508,0.0001153354,0.000423939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8465059,"threshold_uncertainty_score":0.5134889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}