{"id":"W6887226897","doi":"10.15468/dl.vzdbll","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":"Download; Matching (statistics); Range (aeronautics); Robustness (evolution); Sequence (biology)","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":[0.0009222886,0.002016987,0.001545715,0.005103286,0.0009645568,0.002537581,0.002743708,0.001906179,0.1464143],"category_scores_gemma":[0.005956352,0.0008653991,0.001237721,0.009864414,0.0004184479,0.002349007,0.002623363,0.001930362,0.2205191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548731,"about_ca_system_score_gemma":0.00236907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02482571,"about_ca_topic_score_gemma":0.03980925,"domain_scores_codex":[0.9989702,0.0001302147,0.0001314066,0.0003526151,0.0002396834,0.0001759258],"domain_scores_gemma":[0.9974855,0.000677868,0.0002349571,0.000667095,0.0006479545,0.0002865546],"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":[0.00002786797,0.00001091969,0.0004160144,0.0004813313,0.00001471997,0.00001597194,0.00002420135,0.000126113,0.0001055137,0.000341786,0.9970336,0.001401974],"study_design_scores_gemma":[0.00006956966,0.000008869658,0.002107441,0.0001871456,0.00001516781,0.00003836762,0.00007811655,0.0001879591,0.0002042178,0.0007527175,0.9963325,0.00001785995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004841765,0.00002674861,0.00004949961,0.00003754816,0.00001295576,0.000005472201,0.9986533,0.0005161767,0.0006497705],"genre_scores_gemma":[0.0001544943,0.0000295871,0.0001857375,0.00003878853,0.000003400818,0.00003447621,0.9989601,0.0001571462,0.0004361742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8535857,"threshold_uncertainty_score":0.4898047,"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."}}