{"id":"W6943298627","doi":"10.15468/dl.3gbky3","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Bioethics and Human Rights Issues","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","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":[],"category_scores_codex":[0.0003203908,0.0002872848,0.0002444017,0.0001288825,0.0003047759,0.001008224,0.001715201,0.0004233091,0.0005858391],"category_scores_gemma":[0.00003094383,0.0002494041,0.0001624356,0.0003548655,0.0001954902,0.001595593,0.00109732,0.0005182179,0.6415895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002037389,"about_ca_system_score_gemma":0.0001997166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002493142,"about_ca_topic_score_gemma":0.00002699045,"domain_scores_codex":[0.9983729,0.00004580816,0.0003495525,0.000349521,0.0005936354,0.0002886471],"domain_scores_gemma":[0.9985625,0.00001764814,0.0001726946,0.0008656965,0.0002278007,0.0001536605],"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":[0.000003678713,0.00001675683,0.00001143771,0.0001974869,0.00002453913,0.000006191259,0.0001395274,0.00000113292,5.854848e-9,0.00004494111,0.9982605,0.001293795],"study_design_scores_gemma":[0.00009538473,0.000031385,0.000006249281,0.000005657576,0.00002647107,0.000005457666,0.00002267184,0.000001927296,0.000001922325,0.0001146536,0.9993914,0.0002967741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001335319,0.00008872933,0.0001171141,0.0007319297,0.001514343,0.0001829448,0.9968766,0.0002544036,0.0002205707],"genre_scores_gemma":[0.000005320582,0.0001038221,0.00001474947,0.0006411168,0.000002661867,0.000002109401,0.9992298,8.727247e-9,3.351471e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6410036,"threshold_uncertainty_score":0.9999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447561020251061,"score_gpt":0.2441926439867804,"score_spread":0.2197170337842698,"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."}}