{"id":"W4398256955","doi":"10.7910/dvn/br37r3/5bp1mj","title":"source_information.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Information retrieval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001468144,0.003585314,0.002350151,0.007296765,0.001362777,0.005388376,0.004323822,0.003354737,0.4054745],"category_scores_gemma":[0.01039276,0.00132047,0.001579074,0.01228849,0.0008287462,0.003573525,0.004102952,0.002464713,0.467289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00228018,"about_ca_system_score_gemma":0.002941572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054138,"about_ca_topic_score_gemma":0.0289764,"domain_scores_codex":[0.9986346,0.0002371826,0.0001585328,0.000434982,0.0002562677,0.0002782853],"domain_scores_gemma":[0.99595,0.0012426,0.0002998472,0.001068454,0.0009695512,0.0004695657],"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":[0.00002404254,0.000009735403,0.0001730643,0.0005166587,0.00001664317,0.000006393621,0.00001485168,0.00007006122,0.00005151232,0.0003186512,0.9978766,0.0009217655],"study_design_scores_gemma":[0.0002363441,0.00001640438,0.001249077,0.0004254799,0.00002764673,0.00002957621,0.00006725615,0.0001886166,0.0003211725,0.001425669,0.9959771,0.000035738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002820874,0.00004304019,0.00003083195,0.00005920709,0.00002689757,0.000006488573,0.9985774,0.0004553817,0.0007726156],"genre_scores_gemma":[0.0002417964,0.00007380496,0.0001518346,0.00008511498,0.00001456625,0.00006326813,0.997891,0.0003281063,0.001150606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5945256,"threshold_uncertainty_score":0.8480185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252456760118741,"score_gpt":0.2553760849590159,"score_spread":0.2328515173578284,"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."}}