{"id":"W4206535493","doi":"10.1186/s13063-021-05853-x","title":"How can behavioural science help us design better trials? COMMENT","year":2021,"lang":"en","type":"letter","venue":"Minerva Access (University of Melbourne)","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Ottawa Hospital","funders":"Chief Scientist Office, Scottish Government Health and Social Care Directorate; University of Aberdeen; Scottish Government","keywords":"Medicine; Research design; MEDLINE; Data science; Management science; Computer science; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001552331,0.000448579,0.001230177,0.0007982196,0.0006763327,0.0003336113,0.002538852,0.0008362108,0.005348884],"category_scores_gemma":[0.00007386342,0.0004990183,0.0007413042,0.0008090202,0.0008290549,0.0007376542,0.0006159893,0.001746267,0.00004317677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003933757,"about_ca_system_score_gemma":0.0004810955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01619366,"about_ca_topic_score_gemma":0.001279368,"domain_scores_codex":[0.9955436,0.00116894,0.0005419193,0.0009070715,0.0008408632,0.0009976224],"domain_scores_gemma":[0.9968095,0.000229536,0.001052734,0.0009958175,0.0006053359,0.0003070783],"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":[0.00006275044,0.0002322732,0.004020947,0.00008113917,0.0001014852,0.001188174,0.0005669857,5.227154e-7,0.00009277867,0.00003901865,0.9765099,0.01710402],"study_design_scores_gemma":[0.003261565,0.0005660144,0.05644275,0.0006712578,0.001208156,0.0001201488,0.002534334,0.00003030694,0.0002951849,0.00007076191,0.9337136,0.00108598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1117455,0.0005023902,0.002119755,0.8799596,0.003377929,0.0008564225,0.0004367742,0.00006767656,0.0009339737],"genre_scores_gemma":[0.1649119,0.0001507395,0.008285319,0.6556994,0.004095208,0.00003677587,0.00193406,0.0002175997,0.164669],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2242602,"threshold_uncertainty_score":0.9997461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2997051095735778,"score_gpt":0.3869379776613561,"score_spread":0.0872328680877783,"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."}}