{"id":"W6924524459","doi":"10.15468/dl.kebka7","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange)","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":[0.000465501,0.000243867,0.0002482424,0.0001507625,0.0005019181,0.0001509477,0.002090562,0.0003108303,0.006085661],"category_scores_gemma":[0.000117104,0.000262576,0.0001318726,0.0005536522,0.0001027986,0.001242727,0.0004536629,0.0004233023,0.06380818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004317218,"about_ca_system_score_gemma":0.0001480826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002513572,"about_ca_topic_score_gemma":0.000005967015,"domain_scores_codex":[0.998174,0.0001163438,0.0003672889,0.0003109383,0.0007253902,0.0003060647],"domain_scores_gemma":[0.9982955,0.00001629714,0.0003491497,0.001076634,0.0001608596,0.0001014997],"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":[0.000008501963,0.00003005813,0.0003328818,0.00006144569,0.00002480072,0.000004351668,0.0000344669,0.000006414381,1.433974e-7,0.000002032857,0.9983047,0.001190151],"study_design_scores_gemma":[0.000235044,0.00004125072,0.00002555399,0.000001010984,0.00001603407,0.00001622265,0.00006563767,3.081266e-7,0.00001001992,0.000002214501,0.9993335,0.0002532283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005533537,0.00002987091,0.0001758864,0.0002954773,0.001573468,0.0003200331,0.9971008,0.0003448112,0.0001043707],"genre_scores_gemma":[0.00001409336,0.00002700543,0.000004204384,0.0005712821,6.723395e-7,0.000009040249,0.9993736,6.32357e-9,1.230575e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05772252,"threshold_uncertainty_score":0.9999827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293998989197597,"score_gpt":0.2155779950092846,"score_spread":0.1926380051173087,"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."}}