{"id":"W4394361992","doi":"10.6084/m9.figshare.9924662","title":"Data to reproduce R codes","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0002044377,0.000312739,0.0004375061,0.0002415932,0.00006271048,0.0006487859,0.01777425,0.0001782025,0.07686015],"category_scores_gemma":[0.004071376,0.0002913362,0.00006473361,0.0007619472,0.000002950722,0.0008615459,0.01344393,0.0003580535,0.1874971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004202124,"about_ca_system_score_gemma":0.0002560828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004367623,"about_ca_topic_score_gemma":0.000148993,"domain_scores_codex":[0.9965331,0.00007240428,0.0003115279,0.00208602,0.0006234276,0.0003735013],"domain_scores_gemma":[0.9805238,0.0001618739,0.0002365755,0.01875606,0.0001476724,0.0001740062],"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":[7.643e-7,0.00001846086,2.237674e-7,0.0001481542,0.0000365075,0.00003892153,0.000002917037,0.000009832535,6.522552e-7,9.871065e-7,0.9991266,0.0006160164],"study_design_scores_gemma":[0.00004103039,0.00002136735,0.00002842439,0.0008426024,0.00002091729,0.000007310856,7.220635e-7,0.0005872275,0.00001103672,0.000002551328,0.9980602,0.000376581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.882525e-8,0.0001661556,0.00005014193,0.0003358404,0.0002561324,0.0003045365,0.9986904,0.00009216113,0.0001046531],"genre_scores_gemma":[1.837893e-7,0.000005183283,0.001722616,0.001555852,0.0003085507,0.00006347231,0.9954104,0.00001515533,0.0009185197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.110637,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.19576494444082,"score_gpt":0.3536536580680713,"score_spread":0.1578887136272513,"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."}}