{"id":"W4385297687","doi":"10.1162/99608f92.9ba2bd43","title":"Reinforcing Reproducibility and Replicability: An Introduction","year":2023,"lang":"en","type":"article","venue":"Harvard Data Science Review","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Science Foundation","keywords":"Reproducibility; Computer science; Statistics; 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":[0.06195481,0.001752576,0.001796854,0.006650229,0.005796846,0.01804293,0.003826359,0.0105501,0.01059155],"category_scores_gemma":[0.1732961,0.001216569,0.00210421,0.006616653,0.03119809,0.02871359,0.0073823,0.02056634,0.00392148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008747092,"about_ca_system_score_gemma":0.010852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004790736,"about_ca_topic_score_gemma":0.004032794,"domain_scores_codex":[0.9301143,0.04375318,0.005232831,0.005047298,0.01438955,0.001462868],"domain_scores_gemma":[0.7228094,0.2321932,0.005493474,0.01043149,0.02684219,0.002230204],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005919458,0.00004624989,0.0005535533,0.002345415,0.00005138389,0.0001829597,0.005782756,0.0006394406,0.00048676,0.7134391,0.1953113,0.08110183],"study_design_scores_gemma":[0.00001530017,0.00005436761,0.0003187555,0.003015654,0.00002226916,0.0002405186,0.001040086,0.0006830131,0.0002902753,0.2654099,0.7288497,0.00006009503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001493261,0.2479542,0.1285734,0.4913547,0.08038438,0.0005311648,0.0004235283,0.0005564016,0.04872889],"genre_scores_gemma":[0.08644813,0.3088619,0.126915,0.2241935,0.2117034,0.002186368,0.0006074829,0.002357292,0.03672697],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9380452,"threshold_uncertainty_score":0.3276523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05219805125579313,"score_gpt":0.3084426474261471,"score_spread":0.2562445961703539,"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."}}