{"id":"W4386705993","doi":"10.2139/ssrn.4569520","title":"Achieving Transparency, Reproducibility, and Readability with Hard-Coded Data: A Review","year":2023,"lang":"en","type":"review","venue":"SSRN Electronic Journal","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Readability; Transparency (behavior); Reproducibility; Computer science; Accounting; Business; Statistics; Mathematics; Computer security","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":[0.08222616,0.001483243,0.004507252,0.01204734,0.001205474,0.006839145,0.003903238,0.004121426,0.002402213],"category_scores_gemma":[0.2457284,0.00105311,0.00304248,0.01163473,0.005904835,0.007437516,0.003499073,0.003425486,0.000707642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003813755,"about_ca_system_score_gemma":0.02408679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006472152,"about_ca_topic_score_gemma":0.0113483,"domain_scores_codex":[0.9584832,0.01687713,0.008810882,0.002496426,0.01266884,0.0006635971],"domain_scores_gemma":[0.6441679,0.2915709,0.02311552,0.00772624,0.03174958,0.00166989],"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":[0.0001116433,0.00006460837,0.001256583,0.1420232,0.001638789,0.00007037922,0.0007657298,0.0003246037,0.000381756,0.008596752,0.01294378,0.8318221],"study_design_scores_gemma":[0.000229481,0.0004650501,0.009085333,0.4392465,0.009985661,0.001154564,0.001632386,0.0007463188,0.003018082,0.03192601,0.5021783,0.0003323178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001729099,0.9966354,0.0006141991,0.001918673,0.000230196,0.00004919029,0.00003577909,0.000009050616,0.0003345709],"genre_scores_gemma":[0.004247392,0.9917336,0.002588737,0.0009048356,0.0002996092,0.00009471059,0.00004643801,0.000009996912,0.00007477191],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9177738,"threshold_uncertainty_score":0.4348587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1919364698786872,"score_gpt":0.427621538224789,"score_spread":0.2356850683461019,"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."}}