{"id":"W6961668587","doi":"10.15468/dl.3uk7qn","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Column (typography); Order (exchange)","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":[0.00101047,0.001724303,0.001401324,0.004748079,0.0008747919,0.002261438,0.002642362,0.001931173,0.1424443],"category_scores_gemma":[0.006030126,0.0008121,0.001104328,0.008488433,0.0004276125,0.001994544,0.002162638,0.00189353,0.1802662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547253,"about_ca_system_score_gemma":0.002303649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01925264,"about_ca_topic_score_gemma":0.02996194,"domain_scores_codex":[0.9990037,0.0001443449,0.000133313,0.0003312635,0.0002268429,0.0001605642],"domain_scores_gemma":[0.9977228,0.0006914052,0.0002244619,0.0005554219,0.0005467452,0.0002591926],"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":[0.00003146915,0.00001273269,0.0004299254,0.0004767255,0.00001497687,0.00001490594,0.00002121542,0.000160113,0.0001095644,0.0004265339,0.9968805,0.001421183],"study_design_scores_gemma":[0.00009044562,0.000008483499,0.00199369,0.0001756765,0.00001503931,0.00003550891,0.0000712999,0.0002122879,0.0002092136,0.0009274094,0.9962437,0.00001728664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004625005,0.00002284052,0.00004644166,0.00003690912,0.00001068185,0.000005624602,0.9989166,0.0003372152,0.0005773874],"genre_scores_gemma":[0.0001884159,0.0000296662,0.0002080103,0.00004337894,0.000003448891,0.00004460935,0.9989092,0.0001273047,0.0004458651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8575556,"threshold_uncertainty_score":0.4765238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06368132074164677,"score_gpt":0.3109200806022898,"score_spread":0.247238759860643,"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."}}