{"id":"W6943914905","doi":"10.15468/dl.zqxolx","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; Matching (statistics); Herbarium; 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":[0.001093329,0.001938654,0.001647759,0.006064069,0.0009628976,0.002696974,0.002829784,0.001888458,0.1881354],"category_scores_gemma":[0.006846825,0.0008885264,0.001192426,0.01141565,0.0004249826,0.002549318,0.002924439,0.001948185,0.258689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546524,"about_ca_system_score_gemma":0.002508819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01939394,"about_ca_topic_score_gemma":0.03391856,"domain_scores_codex":[0.9988059,0.0001658052,0.0001551682,0.0004109613,0.0002643569,0.0001979228],"domain_scores_gemma":[0.9970667,0.0007803974,0.0002808245,0.0007612251,0.0007718459,0.0003390221],"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":[0.00002643684,0.000008345883,0.0003055557,0.0005170486,0.00001410023,0.00001157176,0.00001976951,0.00009390928,0.00009359769,0.0003376969,0.9971456,0.001426362],"study_design_scores_gemma":[0.00005809908,0.000007221688,0.001572356,0.0001908814,0.00001332154,0.00002941716,0.000059897,0.0001054867,0.00015168,0.0007131022,0.9970832,0.00001535152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003299343,0.00002808886,0.0000417652,0.00003334108,0.0000116364,0.000005251472,0.9988348,0.0003639693,0.0006480864],"genre_scores_gemma":[0.0001426427,0.00003622138,0.000183938,0.00004572178,0.000003947582,0.00003934377,0.9989024,0.0001522493,0.0004934662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8118646,"threshold_uncertainty_score":0.6293757,"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."}}