{"id":"W6924655352","doi":"10.15468/dl.tnsusy","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":[0.001051389,0.00199377,0.001666639,0.005469152,0.001022176,0.002745959,0.003087603,0.002100344,0.1462334],"category_scores_gemma":[0.006373748,0.0008941597,0.001194798,0.01078812,0.0004552413,0.002643735,0.002821356,0.00217241,0.2150143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660926,"about_ca_system_score_gemma":0.00253377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02163777,"about_ca_topic_score_gemma":0.0386873,"domain_scores_codex":[0.998852,0.0001558561,0.0001505789,0.0003901391,0.0002669398,0.0001844244],"domain_scores_gemma":[0.9972985,0.0006919876,0.0002606362,0.0007532897,0.0006818278,0.0003137595],"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":[0.00002640022,0.00001120229,0.0003601933,0.0004827109,0.00001395904,0.00001422828,0.00002285061,0.0001099845,0.00009594535,0.000406671,0.9971499,0.001305964],"study_design_scores_gemma":[0.00006324115,0.000006976787,0.001658928,0.0001784504,0.00001217192,0.00003571013,0.00006838103,0.0001271295,0.000162071,0.000787357,0.9968835,0.00001617579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004366507,0.00003033265,0.00004799156,0.00003824728,0.00001274476,0.000005501988,0.9987174,0.0003860246,0.0007180865],"genre_scores_gemma":[0.0001452407,0.00003363014,0.0001845404,0.00003965445,0.000003354108,0.00003698765,0.998944,0.0001322662,0.0004803427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8537666,"threshold_uncertainty_score":0.4891995,"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."}}