{"id":"W6924756139","doi":"10.15468/dl.w5wtu5","title":"Occurrence Download","year":2024,"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); Order (exchange); Real world data","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":[0.0009600967,0.001941753,0.001522867,0.004983972,0.001020669,0.00259534,0.002995942,0.002016397,0.1536383],"category_scores_gemma":[0.006029186,0.0009225533,0.001244456,0.009848061,0.0004376312,0.002523889,0.002567863,0.002110015,0.2237621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754694,"about_ca_system_score_gemma":0.002488396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0261612,"about_ca_topic_score_gemma":0.0412445,"domain_scores_codex":[0.9989913,0.0001339625,0.0001244257,0.0003466481,0.0002384414,0.0001651745],"domain_scores_gemma":[0.9976165,0.000635469,0.0002060451,0.0006479073,0.0006333496,0.000260613],"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":[0.00002533806,0.0000109138,0.0003347828,0.0004356759,0.00001280075,0.00001430079,0.00002229247,0.0001230959,0.00009768557,0.0003686235,0.9970778,0.001476505],"study_design_scores_gemma":[0.00006169724,0.000007048818,0.001628636,0.0001559755,0.00001217795,0.00003362088,0.00007687203,0.0001633535,0.0001884471,0.0007670086,0.9968876,0.00001757935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004452438,0.00002516414,0.00005490717,0.00004240183,0.00001314091,0.000006018615,0.99857,0.0005104303,0.0007334779],"genre_scores_gemma":[0.0001604809,0.00003181623,0.0002403603,0.00004061074,0.000003458997,0.00004397555,0.9987637,0.0001771632,0.0005384493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8463618,"threshold_uncertainty_score":0.5139712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}