{"id":"W6887047745","doi":"10.15468/dl.maib7b","title":"Occurrence Download","year":2015,"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; Confidentiality","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":[0.0008977692,0.0005792535,0.0005337326,0.000212208,0.0003270241,0.0002990488,0.00122264,0.0007006676,0.002375303],"category_scores_gemma":[0.0006246571,0.0006150833,0.0002348168,0.0008017356,0.0003931279,0.002531855,0.0008373847,0.0005600068,0.9869779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805624,"about_ca_system_score_gemma":0.0006533937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335116,"about_ca_topic_score_gemma":0.00005182362,"domain_scores_codex":[0.9966505,0.0001651914,0.0006868131,0.0003866052,0.001517281,0.0005935663],"domain_scores_gemma":[0.9964001,0.00002012238,0.0007182818,0.001155567,0.001176474,0.0005294863],"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":[0.0001647438,0.00006740096,0.0008025337,0.0001585097,0.00005720481,0.000004432561,0.00005639069,0.00001627854,2.642602e-8,2.846595e-8,0.9981838,0.0004886161],"study_design_scores_gemma":[0.0007722204,0.00005210411,0.00004969844,0.000003235567,0.0001211187,0.00001250707,0.0001763178,1.377934e-7,0.00000125981,0.00000127994,0.998208,0.0006021062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002431638,0.00003043814,8.615544e-7,0.00005963639,0.0009076958,0.0005773879,0.9973836,0.0003497727,0.0004474321],"genre_scores_gemma":[0.000004849282,0.00002003491,0.000001490377,0.0003568269,0.000002319042,0.000005406222,0.999609,2.382806e-8,7.227924e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9846026,"threshold_uncertainty_score":0.99963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}