{"id":"W6924791404","doi":"10.15468/dl.v74j4s","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); Data set; Data file","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":[0.001010675,0.002026928,0.001534258,0.005056243,0.0009623735,0.002488089,0.002818555,0.00209796,0.1481656],"category_scores_gemma":[0.005590895,0.0008979072,0.001160257,0.009875118,0.0004576136,0.002236036,0.002426036,0.001978817,0.2117583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533752,"about_ca_system_score_gemma":0.002165144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031443,"about_ca_topic_score_gemma":0.0337128,"domain_scores_codex":[0.9989812,0.0001469131,0.0001289832,0.0003540778,0.0002205324,0.0001682802],"domain_scores_gemma":[0.9975712,0.0006852316,0.0002301684,0.0006517498,0.0005783114,0.0002834453],"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":[0.0000278972,0.00001247482,0.0003869511,0.0005033067,0.00001498915,0.00001516882,0.00002289652,0.0001365636,0.0001152444,0.0003534892,0.9970775,0.001333678],"study_design_scores_gemma":[0.0000772221,0.000008870313,0.00197233,0.0001814213,0.00001476368,0.00004023647,0.00007723366,0.0001726768,0.0001930342,0.0007731801,0.9964706,0.00001854048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004751868,0.00002818777,0.00004578468,0.00003560179,0.00001283275,0.000005488095,0.9988402,0.0003580159,0.0006263347],"genre_scores_gemma":[0.0001665299,0.00003113574,0.0001859382,0.00004154191,0.000003659607,0.00004178966,0.9989737,0.0001304076,0.0004253447],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8518344,"threshold_uncertainty_score":0.4956633,"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."}}