{"id":"W6924660608","doi":"10.15468/dl.kcoyki","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); Software; Training 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":[0.0008426126,0.001915616,0.001554195,0.005160409,0.0009695528,0.002681127,0.002857216,0.00201135,0.172872],"category_scores_gemma":[0.005870612,0.0009250063,0.001167127,0.01055814,0.000435976,0.002445173,0.002660793,0.001967538,0.2286983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791475,"about_ca_system_score_gemma":0.002380187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02900172,"about_ca_topic_score_gemma":0.0460608,"domain_scores_codex":[0.9990535,0.0001116571,0.0001256984,0.0003197794,0.0002244627,0.0001649001],"domain_scores_gemma":[0.9977907,0.0005961867,0.0002089055,0.0005520166,0.0005986352,0.0002535643],"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":[0.00002611749,0.00001024328,0.0003620548,0.000503318,0.00001310374,0.00001478406,0.00002267104,0.0001190853,0.00009115264,0.0003687301,0.9969726,0.001496213],"study_design_scores_gemma":[0.00007010192,0.000007535631,0.001797104,0.0002013971,0.0000135461,0.00003876649,0.00008136999,0.0001692621,0.0001761156,0.000749987,0.9966772,0.00001778982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003749053,0.00002581722,0.00004364742,0.00003647519,0.00001226846,0.000004853604,0.9987338,0.0004272765,0.000678319],"genre_scores_gemma":[0.0001738625,0.00003841194,0.0002202454,0.00004220083,0.000003717838,0.0000398895,0.9987847,0.0001736824,0.0005232738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.827128,"threshold_uncertainty_score":0.5783145,"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."}}