{"id":"W4366547405","doi":"10.1145/3544548.3580726","title":"multiverse: Multiplexing Alternative Data Analyses in R Notebooks","year":2023,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Computer science; Flexibility (engineering); Workflow; Learnability; Pruning; Syntax; Artificial intelligence; Database; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0291371,0.00294247,0.001467489,0.004472514,0.001387412,0.008199609,0.003918302,0.001390865,0.03441396],"category_scores_gemma":[0.08991244,0.002359834,0.003665845,0.002454545,0.002239666,0.008115726,0.008104253,0.003235432,0.01094891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347664,"about_ca_system_score_gemma":0.003497639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002351007,"about_ca_topic_score_gemma":0.004250741,"domain_scores_codex":[0.9886125,0.004903208,0.001112773,0.002957864,0.002075531,0.000338265],"domain_scores_gemma":[0.9141095,0.06717098,0.002743882,0.01191869,0.002805702,0.00125131],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004606216,0.000365189,0.0122087,0.003647426,0.001607628,0.002311579,0.009366734,0.02548718,0.02770287,0.1480558,0.1879177,0.5767229],"study_design_scores_gemma":[0.001241941,0.0004674059,0.005978706,0.001070043,0.0004333026,0.001365769,0.001909497,0.2015048,0.076125,0.2943942,0.4145447,0.000964732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004290699,0.0001973497,0.8754434,0.0006251879,0.0001406816,0.0003424934,0.00365358,0.1120817,0.003224916],"genre_scores_gemma":[0.03950896,0.0002137677,0.9228305,0.0005069192,0.00008348278,0.0009356011,0.003664345,0.02852065,0.003735836],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9708629,"threshold_uncertainty_score":0.1540935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3720743182762961,"score_gpt":0.4734523839530652,"score_spread":0.1013780656767691,"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."}}