{"id":"W2469474306","doi":"10.6000/1929-6029.2016.05.02.3","title":"Intention-to-Treat Analysis but for Treatment Intention: How should Consumer Product Randomized Controlled Trials be Analyzed?","year":2016,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Philip Morris International","keywords":"Blinding; Randomized controlled trial; Randomization; Protocol (science); Product (mathematics); De facto; Population; Intention-to-treat analysis; Marketing; Medicine; Psychology; Business; Alternative medicine; Mathematics; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03820559,0.0002604788,0.003347444,0.002049285,0.00006333408,0.0001494326,0.0008173796,0.0001508139,0.001352583],"category_scores_gemma":[0.3719275,0.0001312283,0.001024621,0.0005418512,0.0005739247,0.0001939301,0.0001260225,0.0003748295,0.000005838275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009197876,"about_ca_system_score_gemma":0.0005403043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008661853,"about_ca_topic_score_gemma":0.0002062464,"domain_scores_codex":[0.9897439,0.002758814,0.002767147,0.0003545445,0.003932398,0.0004431423],"domain_scores_gemma":[0.9143762,0.07612643,0.001226467,0.0002671642,0.007577093,0.0004266404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.2435676,0.002211208,0.001685548,0.0001120666,0.02061024,0.001252262,0.000516924,0.000009542282,0.00590165,0.3659989,0.02614894,0.3319851],"study_design_scores_gemma":[0.2620566,0.001047817,0.0001057884,0.00117522,0.002445183,0.00009521524,0.0004297634,0.00262378,0.006149824,0.7208835,0.002637949,0.0003494364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009199073,0.0002492641,0.964109,0.02341753,0.0003823691,0.00199984,0.000416129,0.00002143309,0.0002053426],"genre_scores_gemma":[0.8170145,0.005722709,0.1713432,0.0001724381,0.00049464,0.0009296395,0.00003940075,0.00004359321,0.004239867],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8078154,"threshold_uncertainty_score":0.9995603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4179813978358019,"score_gpt":0.5845818989366804,"score_spread":0.1666005011008785,"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."}}