{"id":"W6906053111","doi":"10.15468/dl.nt0vcb","title":"Occurrence Download","year":2018,"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":[0.0009618152,0.001706986,0.001513948,0.005995233,0.0008834301,0.002519952,0.002569165,0.001784309,0.1953493],"category_scores_gemma":[0.006440207,0.0008402794,0.001105805,0.01115589,0.0003933983,0.002345835,0.002749911,0.001872785,0.260613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463031,"about_ca_system_score_gemma":0.002369698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01898897,"about_ca_topic_score_gemma":0.03338344,"domain_scores_codex":[0.9989127,0.0001358505,0.0001429425,0.0003679139,0.0002555426,0.0001851116],"domain_scores_gemma":[0.9971386,0.0007326956,0.0002923071,0.0007235354,0.0007733746,0.0003395427],"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":[0.0000240357,0.000008066651,0.000330706,0.0005154739,0.00001371577,0.0000115334,0.00002085807,0.0000872567,0.00009417394,0.00034329,0.9970838,0.001467146],"study_design_scores_gemma":[0.00005386172,0.000006585662,0.001815894,0.0001929503,0.00001293077,0.00002833929,0.00006148087,0.00009470514,0.0001438211,0.0006475426,0.996927,0.00001494109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003174795,0.00002368295,0.00003679215,0.00002941974,0.00001030327,0.000004544118,0.9989324,0.0002892268,0.0006418659],"genre_scores_gemma":[0.000151158,0.0000369673,0.0001864449,0.00004129593,0.000004113993,0.00003841866,0.9988402,0.0001460009,0.0005554498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8046507,"threshold_uncertainty_score":0.6535085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}