{"id":"W6887260809","doi":"10.15468/dl.wqx7zi","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); The Internet; Confidentiality","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":[0.0009023207,0.001985431,0.001601159,0.004960409,0.0009832372,0.002667379,0.002980847,0.001997665,0.157522],"category_scores_gemma":[0.006208669,0.0008895133,0.001206586,0.009532146,0.0004299849,0.002370798,0.0026512,0.001963306,0.2213355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553209,"about_ca_system_score_gemma":0.002313134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02301813,"about_ca_topic_score_gemma":0.03667928,"domain_scores_codex":[0.9990166,0.0001272446,0.00012444,0.000339618,0.0002257482,0.0001661914],"domain_scores_gemma":[0.9976434,0.0006607121,0.0002114651,0.0006326917,0.0005860864,0.0002656047],"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":[0.00002571134,0.00001053135,0.0003727702,0.0004757459,0.00001346195,0.00001592968,0.00002361254,0.000113971,0.00009446421,0.0003419115,0.9971418,0.001370059],"study_design_scores_gemma":[0.00006781585,0.000007906401,0.001886182,0.0002005804,0.00001471985,0.00004329557,0.00008154457,0.0001834496,0.0001919016,0.0007967583,0.9965083,0.00001761587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004744524,0.00003090334,0.0000515722,0.00004194534,0.00001273066,0.000005715798,0.9986223,0.0005155767,0.0006718395],"genre_scores_gemma":[0.000172125,0.00003513807,0.0002010206,0.00004314137,0.000003611362,0.00004045508,0.9988773,0.0001698054,0.0004573557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.842478,"threshold_uncertainty_score":0.5269636,"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."}}