{"id":"W6961857615","doi":"10.15468/dl.mab65u","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); The Internet","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":[0.0009983131,0.001968371,0.001518327,0.005418122,0.0009591948,0.002515422,0.002700523,0.001822187,0.1750758],"category_scores_gemma":[0.0058424,0.0009229128,0.00121196,0.01082377,0.0004304268,0.002332105,0.002685706,0.001969381,0.2463353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714507,"about_ca_system_score_gemma":0.002762269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02889505,"about_ca_topic_score_gemma":0.04716449,"domain_scores_codex":[0.9989111,0.0001428583,0.000139936,0.0003628536,0.0002543826,0.0001888512],"domain_scores_gemma":[0.9972535,0.0007129227,0.0002466035,0.0006980375,0.0007603613,0.0003285879],"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":[0.00002774645,0.000008869702,0.0003080993,0.000507687,0.00001371436,0.00001329235,0.00002124687,0.0001041371,0.0001177675,0.0003614108,0.9971378,0.001378116],"study_design_scores_gemma":[0.00005732405,0.000006413701,0.001661517,0.0001753469,0.00001236858,0.00002848052,0.00006095483,0.0001007296,0.0001766667,0.0006679643,0.9970359,0.00001637838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003174098,0.00002197464,0.0000393293,0.00002922277,0.000009944593,0.000004978173,0.9988913,0.0003307433,0.000640908],"genre_scores_gemma":[0.0001402087,0.00003418436,0.0001848529,0.00004374999,0.000003114732,0.00003875499,0.9989113,0.0001584027,0.0004855398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8249242,"threshold_uncertainty_score":0.585687,"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."}}