{"id":"W6906055663","doi":"10.15468/dl.vccpqx","title":"Occurrence Download","year":2022,"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); State (computer science); Confidentiality","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":[0.0009710204,0.001946873,0.001468588,0.004610879,0.001074136,0.002392606,0.002857888,0.002237739,0.1411254],"category_scores_gemma":[0.005763702,0.0008347016,0.001187982,0.008204512,0.0004491874,0.002373219,0.002481313,0.00205964,0.2015151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561792,"about_ca_system_score_gemma":0.002251955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025205,"about_ca_topic_score_gemma":0.03608334,"domain_scores_codex":[0.9989778,0.0001430675,0.0001244083,0.0003647347,0.0002221911,0.0001677606],"domain_scores_gemma":[0.9975789,0.0006678926,0.0002158719,0.0006656791,0.0005836401,0.0002879968],"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":[0.00002851373,0.00001383505,0.0004118764,0.0004539464,0.00001285859,0.00001609125,0.00002224461,0.0001271027,0.0001164643,0.0003542937,0.997053,0.001389752],"study_design_scores_gemma":[0.00007795404,0.00001026907,0.002096504,0.0001883659,0.0000136772,0.0000456183,0.00008356096,0.0002014276,0.0002027792,0.0008176821,0.9962425,0.00001956896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005940135,0.00002967866,0.00005214005,0.00004636212,0.00001539118,0.000006916165,0.9986324,0.0004487325,0.0007089765],"genre_scores_gemma":[0.0001747653,0.00002831856,0.0002189361,0.00004754055,0.00000365772,0.00004399936,0.998893,0.0001290547,0.0004607441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8588746,"threshold_uncertainty_score":0.4721116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}