{"id":"W6905923092","doi":"10.15468/dl.rxsbqc","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; Data collection; Mammal; Matching (statistics); Identification (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":[0.001033754,0.002080024,0.001696275,0.005410979,0.001038708,0.002857397,0.003123861,0.002039782,0.1736448],"category_scores_gemma":[0.006785255,0.0009568303,0.00124657,0.01068958,0.0004747855,0.002689731,0.003024779,0.002192165,0.2607737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729082,"about_ca_system_score_gemma":0.002674051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02316425,"about_ca_topic_score_gemma":0.04070815,"domain_scores_codex":[0.9989021,0.0001351888,0.0001423826,0.0003792959,0.0002579047,0.0001831162],"domain_scores_gemma":[0.9971257,0.0007568905,0.0002577094,0.0007798703,0.0007488576,0.0003309433],"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":[0.00002538737,0.00001008351,0.0003268704,0.0004878092,0.0000141017,0.00001389731,0.0000239299,0.0001027152,0.00009305897,0.0003628108,0.9971801,0.001359239],"study_design_scores_gemma":[0.00006368947,0.000007036921,0.001561295,0.0001773081,0.00001290064,0.00003394216,0.00007095256,0.0001222793,0.0001606796,0.00070864,0.9970652,0.00001599554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003774476,0.00002584009,0.00004855447,0.00003524532,0.00001289657,0.000005277375,0.998741,0.0004455851,0.0006478466],"genre_scores_gemma":[0.0001309503,0.00003124791,0.0002007673,0.00003699364,0.000003499354,0.00003870761,0.9989163,0.0001743267,0.0004672127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8263552,"threshold_uncertainty_score":0.5808996,"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."}}