{"id":"W6961862748","doi":"10.15468/dl.uzrza2","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); Fraxinus; Species name","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":[0.0009003368,0.002036895,0.001660737,0.005080755,0.001144906,0.002831219,0.002923063,0.002236989,0.1569698],"category_scores_gemma":[0.005794445,0.0009651732,0.001498628,0.009577932,0.0004490273,0.002628105,0.002773251,0.002165881,0.2406655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559649,"about_ca_system_score_gemma":0.002349251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01857541,"about_ca_topic_score_gemma":0.03108889,"domain_scores_codex":[0.9989012,0.0001489994,0.0001428073,0.0003988036,0.0002255575,0.000182595],"domain_scores_gemma":[0.9976918,0.0006169871,0.000191227,0.0006465187,0.0005904301,0.0002631115],"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":[0.00003109959,0.0000125108,0.000403137,0.0006251398,0.00001611997,0.00001760424,0.00002370854,0.0001179854,0.0001251145,0.0003391039,0.9965509,0.00173748],"study_design_scores_gemma":[0.00007245124,0.00001009241,0.001782052,0.0002079733,0.00001627189,0.00004855109,0.00007695761,0.0001964597,0.0002029832,0.0007709163,0.9965973,0.00001794766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005401658,0.00004244952,0.00005729344,0.0000487131,0.00001789032,0.000007507048,0.9984097,0.0005779784,0.0007844921],"genre_scores_gemma":[0.0001652346,0.00004263321,0.0002274872,0.00005938191,0.000004561581,0.00004591738,0.9987836,0.0001622516,0.0005088146],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8430302,"threshold_uncertainty_score":0.5251164,"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."}}