{"id":"W6924833082","doi":"10.15468/dl.vynskq","title":"Occurrence Download","year":2023,"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); Alien; 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":[0.000930149,0.002001169,0.001618315,0.004836297,0.001041104,0.002569229,0.002725255,0.002145238,0.1571722],"category_scores_gemma":[0.005788232,0.0008927142,0.00129798,0.009524622,0.0004560126,0.002305706,0.00255726,0.00196631,0.2340793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536829,"about_ca_system_score_gemma":0.002289016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02273978,"about_ca_topic_score_gemma":0.03650255,"domain_scores_codex":[0.9989842,0.000137742,0.000126095,0.0003615862,0.0002201806,0.0001701779],"domain_scores_gemma":[0.9975861,0.0007000891,0.0002185121,0.0006367078,0.0005867507,0.0002718592],"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":[0.00002981651,0.00001188118,0.0003759632,0.0005701442,0.00001428452,0.00001542407,0.00002437506,0.0001166099,0.0001247598,0.0003310583,0.9969243,0.001461281],"study_design_scores_gemma":[0.00007143212,0.000009681421,0.002070688,0.0002126262,0.00001563754,0.00003913269,0.00008076454,0.0001539662,0.0002006032,0.00067689,0.9964507,0.00001793588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004860607,0.00003176693,0.00004201745,0.00003801645,0.00001315596,0.000005698925,0.9987653,0.000410736,0.0006446041],"genre_scores_gemma":[0.0001652676,0.00003670472,0.0001828726,0.00004777838,0.000003713828,0.00004300216,0.9988841,0.0001453441,0.0004912199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8428278,"threshold_uncertainty_score":0.5257933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}