{"id":"W4396128857","doi":"10.15468/dl.ge8dck","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005233131,0.0003166005,0.000341487,0.0002000102,0.0005322763,0.0005169176,0.003699335,0.0001906965,0.02212197],"category_scores_gemma":[0.0001503554,0.0003392277,0.000216387,0.001099773,0.0001085951,0.003508283,0.003154555,0.0004273819,0.1381011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005570917,"about_ca_system_score_gemma":0.0002774055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006797598,"about_ca_topic_score_gemma":0.00001635192,"domain_scores_codex":[0.9974738,0.0001457942,0.0004850187,0.0004335413,0.00109012,0.0003716949],"domain_scores_gemma":[0.9973509,0.00002834319,0.000475145,0.001739125,0.0002103182,0.0001961457],"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":[0.000008353796,0.00003703954,0.0002181703,0.00005159845,0.00004265291,0.000005912274,0.00003576008,0.00002854472,7.140577e-9,0.000001166608,0.9970509,0.002519855],"study_design_scores_gemma":[0.0002031248,0.00003366796,0.00003526306,6.494635e-7,0.00004353681,0.000008322259,0.00004513183,0.000003242179,5.977643e-7,0.000002095865,0.9992859,0.0003384832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001459143,0.00001820904,0.0005068008,0.0002690671,0.0007740509,0.0002203734,0.9979151,0.0001823075,0.00009945939],"genre_scores_gemma":[0.000001602636,0.00004213555,0.00001709905,0.001021904,7.906939e-7,0.000006668455,0.9989097,7.991103e-9,1.410635e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1159791,"threshold_uncertainty_score":0.999906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425624018910676,"score_gpt":0.2181421490624247,"score_spread":0.2038859088733179,"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."}}