{"id":"W6887012294","doi":"10.15468/dl.m3fyfq","title":"Occurrence Download","year":2019,"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","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":[0.0010605,0.0020582,0.001641791,0.005846079,0.0009875407,0.002644538,0.002871912,0.001936679,0.1817903],"category_scores_gemma":[0.006122059,0.0009609848,0.001220985,0.01102602,0.0004479602,0.002454737,0.00294788,0.001992923,0.2707699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586939,"about_ca_system_score_gemma":0.002494882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210065,"about_ca_topic_score_gemma":0.03879094,"domain_scores_codex":[0.9987863,0.000156116,0.0001550362,0.0004146274,0.0002821173,0.0002059244],"domain_scores_gemma":[0.9973253,0.0006496694,0.0002499263,0.0007247538,0.0007244922,0.0003258687],"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":[0.00002708614,0.000008560261,0.0002856577,0.0004841409,0.00001327438,0.0000119802,0.00002020665,0.00008517699,0.0001039514,0.0003362322,0.9972847,0.001338996],"study_design_scores_gemma":[0.00005742184,0.000006805431,0.001545927,0.0001691539,0.00001262002,0.0000304099,0.00005917216,0.00009656407,0.0001764133,0.000687253,0.9971425,0.00001584823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003173097,0.0000257478,0.00004081042,0.00003021635,0.0000108822,0.00000515344,0.9987782,0.0003942919,0.0006830051],"genre_scores_gemma":[0.0001303599,0.00003287591,0.0001772854,0.00004350142,0.000003455753,0.00003674502,0.9989248,0.0001677341,0.0004831046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8182097,"threshold_uncertainty_score":0.6081492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}