{"id":"W6905993784","doi":"10.15468/dl.rpgtar","title":"Occurrence Download","year":2016,"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":[0.0009491899,0.001983853,0.001546565,0.005286422,0.0009977506,0.002489622,0.002996766,0.002111299,0.1256868],"category_scores_gemma":[0.005631285,0.0008751975,0.001198074,0.01054149,0.0004364405,0.002300524,0.002481813,0.002095492,0.1873746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826704,"about_ca_system_score_gemma":0.002627094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02813099,"about_ca_topic_score_gemma":0.04855843,"domain_scores_codex":[0.9989189,0.0001405344,0.0001324081,0.0003634739,0.000257173,0.0001875364],"domain_scores_gemma":[0.9975792,0.0006094052,0.0002313588,0.0006658685,0.0006126672,0.0003015572],"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":[0.0000268953,0.00001260765,0.0004147908,0.0004176085,0.00001404617,0.00001430259,0.00002177838,0.0001311293,0.0001067367,0.0003662887,0.9970915,0.001382293],"study_design_scores_gemma":[0.00007095026,0.000008551255,0.002209886,0.0001900893,0.00001457429,0.00004244852,0.00007590749,0.0001879678,0.000198075,0.0007278923,0.9962565,0.00001714097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005420717,0.00003145932,0.00004381006,0.00003809356,0.00001253127,0.000005194098,0.9987776,0.0003780122,0.0006590394],"genre_scores_gemma":[0.0001455947,0.00003005779,0.0001618835,0.00003492462,0.000002817749,0.00003074622,0.999069,0.0001087842,0.0004162529],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8743132,"threshold_uncertainty_score":0.4204642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}