{"id":"W6887329738","doi":"10.15468/dl.za9ec8","title":"Occurrence Download","year":2022,"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; Set (abstract data type)","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":[0.001138413,0.001946584,0.001707238,0.005363782,0.001046135,0.002875726,0.003027777,0.002040852,0.1803552],"category_scores_gemma":[0.006737282,0.001018791,0.00119633,0.01099243,0.0004679675,0.002487972,0.002791873,0.002119499,0.2414122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604693,"about_ca_system_score_gemma":0.002435423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02109215,"about_ca_topic_score_gemma":0.03362824,"domain_scores_codex":[0.998813,0.0001581414,0.0001578962,0.0004085744,0.00027155,0.00019079],"domain_scores_gemma":[0.9971501,0.0008148538,0.0002632213,0.0007591203,0.0007051178,0.0003076539],"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":[0.00002752276,0.0000102745,0.0003395858,0.0005297819,0.00001497276,0.0000143478,0.00002453052,0.000113046,0.0001118788,0.0004058454,0.9970124,0.001395914],"study_design_scores_gemma":[0.00006176333,0.000006704304,0.001602807,0.0001859154,0.00001369456,0.00003371935,0.0000712757,0.0001199086,0.0001736552,0.0007519346,0.9969614,0.0000171539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003353716,0.00002284616,0.00004742443,0.00003253824,0.00001100715,0.000004679605,0.9988716,0.000358378,0.0006179943],"genre_scores_gemma":[0.0001436485,0.00003244677,0.0001975869,0.00004183875,0.00000321012,0.00004021062,0.9988966,0.0001756349,0.000468933],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8196448,"threshold_uncertainty_score":0.6033481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}