{"id":"W4398613456","doi":"10.7910/dvn/gl5ccd/5igdeu","title":"iolinks_exec","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Université du Québec à Montréal","funders":"","keywords":"Replication (statistics); Computer science; Database; Biology; Virology","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","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005792851,0.000414514,0.000660102,0.000584905,0.0002461959,0.001004632,0.005838388,0.0003688415,0.2065363],"category_scores_gemma":[0.00603638,0.000325224,0.000232149,0.0006289217,0.0003719255,0.0008009556,0.003705576,0.0004325444,0.8428237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006821805,"about_ca_system_score_gemma":0.0001578801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005591578,"about_ca_topic_score_gemma":0.0008529614,"domain_scores_codex":[0.9938813,0.0004752259,0.001103771,0.001359398,0.002660458,0.0005198237],"domain_scores_gemma":[0.9913229,0.0006834053,0.0006445005,0.006784185,0.0002897537,0.0002752252],"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":[0.00003103839,0.00008474534,8.559726e-7,0.00002630194,0.00005320253,0.00008096681,0.00001443505,7.802124e-7,5.424246e-7,0.0003181453,0.9978269,0.001562071],"study_design_scores_gemma":[0.0002706898,0.00006215907,0.00001549724,0.00003743079,0.00009078895,0.000006911625,0.00009565752,0.00001351688,0.000003676094,0.002372938,0.9966292,0.000401537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002062934,7.476975e-7,0.0003181656,0.000035682,0.002975223,0.000304139,0.9936524,0.00005736495,0.002654224],"genre_scores_gemma":[9.379689e-7,0.0001862425,0.0004680148,0.002750744,0.0009421672,0.00002061829,0.9894944,0.00001581546,0.006121093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6362873,"threshold_uncertainty_score":0.99992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118766811557337,"score_gpt":0.3832193626359284,"score_spread":0.2644525510785913,"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."}}