{"id":"W6887215882","doi":"10.15468/dl.xjdrbk","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Data set; Sample (material)","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":[0.001015827,0.001973187,0.001663025,0.005512308,0.0009629779,0.00261498,0.002893816,0.002010535,0.1468828],"category_scores_gemma":[0.006358633,0.0008841231,0.001201941,0.01100723,0.0004532179,0.002230026,0.002584615,0.002037724,0.1996426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608852,"about_ca_system_score_gemma":0.0026039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309914,"about_ca_topic_score_gemma":0.03656477,"domain_scores_codex":[0.9989226,0.0001473988,0.0001424521,0.0003661162,0.0002401816,0.0001811563],"domain_scores_gemma":[0.9974147,0.000729755,0.0002575197,0.0006600702,0.0006439374,0.0002939714],"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":[0.00003171735,0.00001195188,0.0004470851,0.0006182615,0.00001947427,0.0000167016,0.00002523375,0.0001459002,0.0001165848,0.0004251213,0.9966543,0.001487774],"study_design_scores_gemma":[0.00007667614,0.000008234801,0.002039419,0.0002211243,0.00001718555,0.00003765538,0.00007128229,0.0001406807,0.0001830924,0.0007949854,0.996392,0.00001770617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003967156,0.00002944487,0.00003801488,0.0000324931,0.00001051543,0.000004809192,0.9990243,0.000301481,0.0005193301],"genre_scores_gemma":[0.0001506334,0.00003365433,0.0001573284,0.00003690679,0.000003115857,0.0000357748,0.9990861,0.000110996,0.0003853605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8531172,"threshold_uncertainty_score":0.491372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}