{"id":"W4398313648","doi":"10.7910/dvn/28075/k7l9y8","title":"events.2014.20160121105408.tab","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Travel-related health issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"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":[0.0005442474,0.0007341874,0.001167317,0.00049424,0.0001662148,0.00003065062,0.0007774406,0.001151402,0.1366519],"category_scores_gemma":[0.0004962241,0.0005662631,0.0002697002,0.0001942256,0.000180557,0.0002920357,0.0004834167,0.001259557,0.6623496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004027964,"about_ca_system_score_gemma":0.0008015488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007018352,"about_ca_topic_score_gemma":0.00009854029,"domain_scores_codex":[0.9958497,0.0001586519,0.0009191009,0.001083046,0.0009559111,0.001033561],"domain_scores_gemma":[0.9947494,0.0001767465,0.0004801997,0.003563563,0.0001932262,0.0008369055],"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":[0.0003507362,0.0002231903,0.00007403788,0.0008433604,0.0002794478,0.0005605873,0.00002053725,8.052434e-8,0.00003725242,0.00002333445,0.9966771,0.0009103643],"study_design_scores_gemma":[0.003019073,0.0002681643,0.0007181564,0.001639088,0.0007458217,0.0002174915,0.00002050169,0.000001054828,0.0000391193,0.00004580943,0.9927079,0.0005778137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000317406,0.00002767658,0.00002544494,0.0001864311,0.002288508,0.001090314,0.9953586,0.0002172794,0.0007740392],"genre_scores_gemma":[0.00001262264,0.005198758,0.000362878,0.00191129,0.002167878,0.00006938321,0.9828026,0.0001086366,0.007365901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5256978,"threshold_uncertainty_score":0.9996789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195686741654309,"score_gpt":0.3026275118680222,"score_spread":0.2806706444514792,"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."}}