{"id":"W6887158694","doi":"10.15468/dl.t2cvec","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); Herbarium; Range (aeronautics)","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":[0.001054289,0.001922186,0.001515994,0.005551141,0.0008779643,0.002554724,0.002720266,0.001896964,0.1448989],"category_scores_gemma":[0.006578884,0.0008457091,0.001172381,0.01036998,0.0004100157,0.002351841,0.002679836,0.001831708,0.2095569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661591,"about_ca_system_score_gemma":0.002430392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141488,"about_ca_topic_score_gemma":0.03613982,"domain_scores_codex":[0.998811,0.0001654045,0.0001605891,0.0004064467,0.0002621447,0.0001943351],"domain_scores_gemma":[0.9972467,0.0007073017,0.0002822124,0.0007663079,0.0006816399,0.0003158067],"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":[0.0000290026,0.000009926289,0.0004069799,0.0004961386,0.00001606666,0.00001298515,0.0000207245,0.0001242618,0.00009547115,0.0003853782,0.9969271,0.001475906],"study_design_scores_gemma":[0.00006530599,0.000008249246,0.002007588,0.0001904342,0.00001451516,0.00003449398,0.00006146069,0.0001587843,0.0001777495,0.00080396,0.9964609,0.00001665739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004188543,0.00002951049,0.00004136048,0.00003357616,0.0000106936,0.000005203232,0.9988759,0.0003662716,0.0005957155],"genre_scores_gemma":[0.0001608521,0.00003261035,0.0001646172,0.00004140657,0.000003429876,0.00003277223,0.9990521,0.0001139883,0.0003982578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8551011,"threshold_uncertainty_score":0.4847351,"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."}}