{"id":"W6887158802","doi":"10.15468/dl.r2kk2u","title":"Occurrence Download","year":2021,"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; Order (exchange)","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":[0.0009629104,0.002056891,0.001644489,0.005441396,0.001061062,0.002733913,0.003105759,0.002134955,0.1726986],"category_scores_gemma":[0.00616986,0.0009595261,0.001147177,0.01108935,0.0004563383,0.002479301,0.002520024,0.002185014,0.2481313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905741,"about_ca_system_score_gemma":0.002586241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02616321,"about_ca_topic_score_gemma":0.04105417,"domain_scores_codex":[0.9989126,0.0001398748,0.000135469,0.0003602564,0.0002680161,0.0001837381],"domain_scores_gemma":[0.9974675,0.000681952,0.000226872,0.0006529561,0.0006894376,0.0002812269],"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":[0.0000235206,0.000009786252,0.0002848782,0.0004195924,0.00001096676,0.00001228376,0.00001971767,0.0001032256,0.00008220957,0.0003289628,0.9973787,0.001326263],"study_design_scores_gemma":[0.00005878916,0.000006543776,0.001457013,0.0001639863,0.0000119899,0.00003349607,0.00007227909,0.0001539798,0.0001824747,0.0006873038,0.9971558,0.00001629887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003424252,0.00002258663,0.00004314972,0.00003491846,0.00001022597,0.000004933248,0.9987831,0.0003822739,0.0006846389],"genre_scores_gemma":[0.00014123,0.00003048644,0.0002008453,0.00003844842,0.000002952001,0.00004081319,0.9988346,0.0001490503,0.0005617254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8273014,"threshold_uncertainty_score":0.5777344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}