{"id":"W6887163557","doi":"10.15468/dl.xbqqgs","title":"Occurrence Download","year":2017,"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); Herbarium","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":[0.001033722,0.001859252,0.001548995,0.005743903,0.0008692722,0.002528615,0.002697847,0.001917633,0.1544605],"category_scores_gemma":[0.00613478,0.0008170849,0.001193363,0.01054529,0.0004267168,0.002355921,0.002823642,0.001951921,0.2217585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148056,"about_ca_system_score_gemma":0.002509287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01650935,"about_ca_topic_score_gemma":0.02962917,"domain_scores_codex":[0.9988102,0.0001604534,0.0001576482,0.0004030797,0.0002697731,0.0001988317],"domain_scores_gemma":[0.9972559,0.0007074006,0.0002787574,0.0007189238,0.000716024,0.0003230301],"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":[0.00003059394,0.00001084471,0.0004039515,0.0005859503,0.00001711261,0.00001419777,0.00002066945,0.0001189376,0.0001258497,0.0003798135,0.9966792,0.001612912],"study_design_scores_gemma":[0.00006777198,0.000009143305,0.001895238,0.0002116293,0.00001540158,0.00003667073,0.00006533543,0.0001304685,0.00019028,0.0007667329,0.9965944,0.00001684668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000415276,0.00003148219,0.00004279214,0.0000349921,0.00001269777,0.000005633576,0.9988946,0.0003330868,0.0006032115],"genre_scores_gemma":[0.0001553716,0.00003776481,0.0001757243,0.00004562449,0.000003889804,0.00003626062,0.9990095,0.0001140939,0.0004217007],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8455395,"threshold_uncertainty_score":0.516722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}