{"id":"W6962091773","doi":"10.15468/dl.wtc6uy","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":"Matching (statistics); Download; Range (aeronautics); Electronic mail","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":[0.0009426681,0.001949919,0.001540376,0.004600023,0.0009792108,0.002375938,0.00280565,0.00212696,0.1428108],"category_scores_gemma":[0.005660553,0.0008892234,0.001187478,0.009130351,0.0004520253,0.002201331,0.00254439,0.002041791,0.2086992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623122,"about_ca_system_score_gemma":0.002336824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02236145,"about_ca_topic_score_gemma":0.03743678,"domain_scores_codex":[0.9990282,0.0001262531,0.0001247069,0.0003333585,0.0002223614,0.0001650937],"domain_scores_gemma":[0.9977183,0.0006208526,0.0002181346,0.0006110523,0.0005635127,0.0002681255],"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":[0.00002865478,0.00001205331,0.000406344,0.0005102849,0.00001430133,0.00001581663,0.00002662796,0.0001323875,0.0001286767,0.0003864119,0.9968795,0.001459044],"study_design_scores_gemma":[0.00007035073,0.00000810498,0.001937365,0.0001811749,0.00001340762,0.00003808019,0.00007964123,0.0001685079,0.0001988667,0.0007200412,0.9965671,0.0000172991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000451691,0.00002378754,0.0000461735,0.00003468339,0.00001185603,0.000005297285,0.9988575,0.0003944521,0.0005811081],"genre_scores_gemma":[0.0001587505,0.00002830556,0.0002054298,0.00004083883,0.000003088956,0.00004080403,0.9989705,0.0001422699,0.0004099817],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8571892,"threshold_uncertainty_score":0.4777496,"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."}}