{"id":"W3204186164","doi":"10.1016/j.simpa.2021.100147","title":"InteractionR: An R package for full reporting of effect modification and interaction","year":2021,"lang":"en","type":"article","venue":"Software Impacts","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé","keywords":"Bootstrapping (finance); Multiplicative function; Delta method; Percentile; R package; Interaction; Computer science; Confidence interval; Variance (accounting); Scale (ratio); Variance components; Additive model; Simple (philosophy); Econometrics; Statistics; Data mining; Mathematics; Machine learning; Estimator","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04159737,0.002952683,0.003596184,0.00502059,0.000614757,0.003445464,0.004217736,0.002242263,0.159494],"category_scores_gemma":[0.3483767,0.002077908,0.006941843,0.004600045,0.001480259,0.002974659,0.004192784,0.004128834,0.03217616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009850637,"about_ca_system_score_gemma":0.005267796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485998,"about_ca_topic_score_gemma":0.003374485,"domain_scores_codex":[0.9579822,0.02710016,0.005762687,0.003813527,0.004738869,0.0006025837],"domain_scores_gemma":[0.6583489,0.2877954,0.01745005,0.02656648,0.008836273,0.001002917],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00106116,0.0001031719,0.01140081,0.01984445,0.008521915,0.0006613144,0.0007936064,0.005566144,0.001425515,0.0258487,0.6942106,0.2305626],"study_design_scores_gemma":[0.001534708,0.000479063,0.01829884,0.006218755,0.006572219,0.001710797,0.0002562414,0.02434342,0.004942426,0.1804269,0.7545765,0.0006401701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002741733,0.003415802,0.6937496,0.003453574,0.002086372,0.002703944,0.2231641,0.06138779,0.007297068],"genre_scores_gemma":[0.0514954,0.003043163,0.7988284,0.004382757,0.001179195,0.02563678,0.06168874,0.04544211,0.008303422],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9584026,"threshold_uncertainty_score":0.5335604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2072331380722301,"score_gpt":0.4870284351868094,"score_spread":0.2797952971145793,"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."}}