{"id":"W6905759169","doi":"10.15468/dl.tujrbb","title":"Occurrence Download","year":2016,"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; 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":[0.001123447,0.001926813,0.001653745,0.005653562,0.000896583,0.002648881,0.002858247,0.001965266,0.1520434],"category_scores_gemma":[0.006596895,0.0009116135,0.001176864,0.01060373,0.0004584916,0.002270518,0.002821378,0.001962398,0.2020755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521225,"about_ca_system_score_gemma":0.002446479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01785098,"about_ca_topic_score_gemma":0.03032907,"domain_scores_codex":[0.9988501,0.0001580263,0.0001584319,0.0003878915,0.0002586188,0.0001868983],"domain_scores_gemma":[0.9973552,0.0007130287,0.0002839878,0.0007148575,0.0006122103,0.0003206791],"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":[0.00003341675,0.00001183099,0.0004477107,0.0006897039,0.00002029192,0.00001613396,0.00002606707,0.0001320082,0.0001424096,0.000424443,0.9964716,0.00158445],"study_design_scores_gemma":[0.00007824659,0.000008681631,0.00200268,0.0002221773,0.00001728293,0.00004006142,0.00006523891,0.0001299091,0.0001997529,0.0007640017,0.9964553,0.00001673846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004291731,0.0000322893,0.00004156456,0.00003263209,0.00001083092,0.000005319087,0.9989316,0.0003354086,0.0005675121],"genre_scores_gemma":[0.0001571843,0.00003608519,0.0001695179,0.00004117868,0.000003345452,0.00003843883,0.9990531,0.0001210589,0.0003801371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8479565,"threshold_uncertainty_score":0.508636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}