{"id":"W4398749752","doi":"10.7910/dvn/gl5ccd/p3ylfa","title":"main_iolinks.cpp","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; 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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007096814,0.0004676102,0.0007167502,0.000647197,0.0002890985,0.001124222,0.006336678,0.0004158442,0.2162294],"category_scores_gemma":[0.006674717,0.0003726096,0.0002555966,0.0007092831,0.0004349511,0.0008529127,0.004191933,0.0004928624,0.8311229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008655541,"about_ca_system_score_gemma":0.0001724968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005185266,"about_ca_topic_score_gemma":0.0008530039,"domain_scores_codex":[0.9932281,0.0005865445,0.001214163,0.001508511,0.002848672,0.000613975],"domain_scores_gemma":[0.9905246,0.0008667355,0.0007024799,0.007290336,0.0003002244,0.0003155624],"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":[0.00003655894,0.00009518537,0.000001319895,0.00003434224,0.00006487977,0.0001060604,0.00001704147,0.000001025072,5.412992e-7,0.0004858314,0.9977552,0.001402053],"study_design_scores_gemma":[0.0003199979,0.00006734014,0.00002137402,0.00004649996,0.000102628,0.00000843614,0.0001402992,0.00001552529,0.000003158749,0.003356011,0.9954619,0.0004567995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002415458,9.109929e-7,0.0004811814,0.00004801872,0.003348353,0.000359455,0.9927938,0.0000645996,0.002901251],"genre_scores_gemma":[0.000001065025,0.0002193538,0.0007115551,0.003241212,0.001046149,0.00002583489,0.9878781,0.00001925804,0.006857467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6148935,"threshold_uncertainty_score":0.9999127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1174304390843216,"score_gpt":0.3810441989400291,"score_spread":0.2636137598557075,"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."}}