{"id":"W6962060396","doi":"10.15468/dl.ohn3yw","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":[0.001018445,0.001932087,0.001630877,0.005649082,0.0009932735,0.002806604,0.002878827,0.001957662,0.1596064],"category_scores_gemma":[0.006223569,0.0008714719,0.001172645,0.01107366,0.0004482413,0.002492497,0.002715294,0.001972505,0.232442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672081,"about_ca_system_score_gemma":0.002508463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02419722,"about_ca_topic_score_gemma":0.03867485,"domain_scores_codex":[0.9988613,0.0001515947,0.0001546436,0.0003891764,0.000253342,0.0001899151],"domain_scores_gemma":[0.9973726,0.0007258894,0.0002597858,0.0006809378,0.0006520568,0.0003087402],"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":[0.00002729939,0.00000932181,0.0003470396,0.0005249508,0.00001456952,0.00001419736,0.00002360512,0.0001058231,0.00009868961,0.0004098975,0.9970765,0.001347931],"study_design_scores_gemma":[0.00005795528,0.000006725082,0.001599284,0.0001862124,0.00001339814,0.00003317052,0.00006907913,0.0001302694,0.000163407,0.0007757531,0.9969488,0.00001600214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003388167,0.00002720245,0.00004102569,0.00003383369,0.00001168486,0.000004372023,0.9988751,0.000349135,0.0006237609],"genre_scores_gemma":[0.000142459,0.0000350927,0.0001642842,0.00004117769,0.000003442814,0.0000326704,0.9989825,0.0001420531,0.0004561517],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8403936,"threshold_uncertainty_score":0.5339366,"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."}}