{"id":"W6943724559","doi":"10.15468/dl.ytckvv","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); Phylum; 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":[0.001175571,0.002033304,0.00171519,0.004958997,0.001070386,0.002803649,0.003057763,0.002102622,0.1831268],"category_scores_gemma":[0.006769434,0.001030459,0.001177609,0.009807784,0.0004684022,0.002451102,0.002693906,0.002147533,0.245249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708278,"about_ca_system_score_gemma":0.002487782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02175985,"about_ca_topic_score_gemma":0.03479318,"domain_scores_codex":[0.9988681,0.000151307,0.0001406477,0.0003994127,0.0002581775,0.000182389],"domain_scores_gemma":[0.9972729,0.0008054512,0.0002493799,0.000712183,0.0006515376,0.0003085133],"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":[0.00002713405,0.000009998571,0.0003123514,0.0004863224,0.00001400878,0.00001292906,0.00002212586,0.0001086426,0.0001055515,0.0003843379,0.9972667,0.001249966],"study_design_scores_gemma":[0.00007229937,0.000006942001,0.001602291,0.0001832323,0.0000140453,0.00003343786,0.00006474153,0.0001332248,0.0001860442,0.0008237838,0.9968623,0.00001776864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003282337,0.00002267218,0.00004712018,0.00003268087,0.00001060183,0.000004765773,0.9988319,0.0003867717,0.0006306775],"genre_scores_gemma":[0.0001430989,0.00003005933,0.0001979652,0.00004288102,0.000003145209,0.00004265222,0.9988906,0.0001884147,0.0004612371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8168732,"threshold_uncertainty_score":0.6126203,"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."}}