{"id":"W6943382781","doi":"10.15468/dl.uymjme","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); Data set; Data access","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":[0.0009878677,0.001845425,0.001541036,0.005731814,0.001023209,0.002517155,0.002680197,0.001765672,0.1777228],"category_scores_gemma":[0.005873808,0.0009095282,0.001178021,0.01130996,0.0004321309,0.002221223,0.002839946,0.00192258,0.2389638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742327,"about_ca_system_score_gemma":0.003028002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03487019,"about_ca_topic_score_gemma":0.06213663,"domain_scores_codex":[0.9988663,0.0001368504,0.0001397548,0.0003858076,0.0002696856,0.0002015286],"domain_scores_gemma":[0.9970973,0.0007069927,0.000262195,0.0007380366,0.0008423009,0.0003532381],"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":[0.0000259645,0.000008798052,0.0003423847,0.000533094,0.00001433412,0.00001249355,0.00002462327,0.00009795034,0.0001240149,0.0003639986,0.9969963,0.001456016],"study_design_scores_gemma":[0.00004996164,0.000005892809,0.001794809,0.0001731908,0.00001255666,0.0000269391,0.00006607823,0.00009376067,0.0001751518,0.0006320658,0.9969529,0.00001665872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003041215,0.00001969841,0.00003679814,0.00002438451,0.000008904206,0.00000447917,0.9989341,0.0003199,0.0006213714],"genre_scores_gemma":[0.0001382949,0.00003022252,0.0001937353,0.00003820008,0.000003017962,0.00003781373,0.9989117,0.0001600317,0.0004869776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8222772,"threshold_uncertainty_score":0.5945421,"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."}}