{"id":"W6905948246","doi":"10.15468/dl.st2mwn","title":"Occurrence Download","year":2023,"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); Column (typography)","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":[0.000913915,0.00204754,0.001700721,0.005205072,0.001170317,0.002860189,0.002984195,0.002300746,0.1638669],"category_scores_gemma":[0.006069336,0.0009892536,0.001460493,0.009752465,0.0004585353,0.002648373,0.002817803,0.002155883,0.2386354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636562,"about_ca_system_score_gemma":0.002449721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948171,"about_ca_topic_score_gemma":0.03197198,"domain_scores_codex":[0.9989102,0.000141974,0.0001409221,0.0003988551,0.0002256684,0.000182404],"domain_scores_gemma":[0.9976565,0.0006458986,0.0001960277,0.0006463999,0.0005946632,0.0002605786],"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":[0.00003053854,0.00001214953,0.0004053265,0.0006564228,0.00001600463,0.0000179125,0.00002420211,0.0001188505,0.0001285794,0.0003712765,0.9965383,0.001680424],"study_design_scores_gemma":[0.0000696998,0.000008831511,0.00169503,0.0002093461,0.0000156375,0.00004535392,0.0000701852,0.0001731112,0.0001985928,0.0007627429,0.9967341,0.00001723055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005318873,0.00004232959,0.00005721739,0.00004666203,0.00001609608,0.000007225368,0.9984042,0.0005562369,0.0008167857],"genre_scores_gemma":[0.0001708891,0.00004408216,0.0002225912,0.0000581672,0.000004225074,0.00004812785,0.9987581,0.000174038,0.0005197792],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8361331,"threshold_uncertainty_score":0.5481895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}