{"id":"W6886995373","doi":"10.15468/dl.kr9eia","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); Data set; Robustness (evolution)","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":[0.001030349,0.002024396,0.001702576,0.005339618,0.0009906533,0.002883814,0.00310553,0.001991211,0.1656886],"category_scores_gemma":[0.006446508,0.0008901636,0.001192449,0.01099537,0.0004340552,0.002370282,0.00273652,0.002044681,0.2403076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611489,"about_ca_system_score_gemma":0.002729218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02235335,"about_ca_topic_score_gemma":0.03757633,"domain_scores_codex":[0.9989115,0.0001400912,0.000140479,0.0003723555,0.0002495656,0.0001859521],"domain_scores_gemma":[0.9975325,0.0006610417,0.0002379947,0.0006281668,0.0006452409,0.000295096],"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":[0.00002688733,0.000009402726,0.0003594974,0.0004938726,0.00001581119,0.00001435938,0.00002256085,0.0001047661,0.00009597341,0.0004011241,0.9971571,0.001298607],"study_design_scores_gemma":[0.00006265678,0.000006218154,0.001636385,0.0001910008,0.00001487195,0.00003524622,0.00006485104,0.000124566,0.000178286,0.0007906179,0.9968785,0.0000167151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003492041,0.00002706128,0.00004468629,0.00003129869,0.00001078863,0.000004467272,0.9988417,0.0003603882,0.0006447778],"genre_scores_gemma":[0.0001335421,0.00003187832,0.0001605708,0.00003477668,0.000003043741,0.0000335489,0.9990392,0.0001430186,0.0004205181],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8343114,"threshold_uncertainty_score":0.5542834,"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."}}