{"id":"W2757575812","doi":"10.5750/ejpch.v5i3.1308","title":"Towards Patient-Centered Clinical Trial Designs","year":2017,"lang":"en","type":"article","venue":"European Journal for Person Centered Healthcare","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Toronto Metropolitan University","funders":"","keywords":"Randomization; Randomized controlled trial; Preference; Medicine; Selection (genetic algorithm); Clinical trial; Affect (linguistics); Selection bias; Psychology; Computer science; Surgery; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.03058643,0.0003473149,0.001348161,0.0002662135,0.002348265,0.000754122,0.001133398,0.0001450007,0.0003076593],"category_scores_gemma":[0.008126616,0.0003969786,0.0007793409,0.00004916675,0.0001424472,0.0007434391,0.0001153819,0.0007580098,0.001131124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440216,"about_ca_system_score_gemma":0.000343504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001952036,"about_ca_topic_score_gemma":0.00007910896,"domain_scores_codex":[0.9894102,0.002368981,0.006270146,0.0008195639,0.0001933267,0.0009378376],"domain_scores_gemma":[0.9897378,0.0003698218,0.007542296,0.001115116,0.0002702972,0.0009646795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02679241,0.001839744,0.1085129,0.001837676,0.00103023,0.0002266759,0.02291993,0.00001748448,0.000006429444,0.02900196,0.6794561,0.1283584],"study_design_scores_gemma":[0.09640483,0.007859138,0.07983535,0.0009170819,0.00004227322,0.000165348,0.007400175,0.001173555,0.000004832757,0.002764948,0.8021601,0.001272333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6500962,0.003790729,0.01288596,0.2736074,0.03717659,0.004964983,0.002582114,0.0001688936,0.01472719],"genre_scores_gemma":[0.9726345,0.0005540581,0.005646761,0.01443381,0.005501756,0.00004032549,0.00007372963,0.0001522774,0.0009627668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3225383,"threshold_uncertainty_score":0.9998482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8328244453669503,"score_gpt":0.5348578816113904,"score_spread":0.29796656375556,"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."}}