{"id":"W4321446580","doi":"10.1257/rct.10684-1.0","title":"Dual-Client Workforce Development Model: NPower Canada Randomized Control Trial","year":2023,"lang":"en","type":"dataset","venue":"AEA Randomized Controlled Trials","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Workforce; Dual (grammatical number); Control (management); Randomized controlled trial; Workforce development; Business; Operations management; Computer science; Engineering; Medicine; Economic growth; Economics; Internal medicine; Artificial intelligence; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"randomized_trial","genre":"dataset","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004999157,0.001508496,0.003461472,0.0008257488,0.0008368204,0.001670094,0.002351995,0.001577393,0.05513469],"category_scores_gemma":[0.0172193,0.0006994178,0.002993455,0.001989952,0.0007012743,0.0007868538,0.000884038,0.002795944,0.003972481],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007872319,"about_ca_system_score_gemma":0.02094973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3285485,"about_ca_topic_score_gemma":0.5454087,"domain_scores_codex":[0.9964014,0.002008676,0.0002598087,0.0005023859,0.0005016098,0.0003261772],"domain_scores_gemma":[0.9942678,0.002511583,0.001035051,0.0005909443,0.001095613,0.0004989326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.2732458,0.001260348,0.006867158,0.01549457,0.01195668,0.0001160159,0.000130754,0.002764549,0.0002457433,0.003880292,0.6391408,0.04489738],"study_design_scores_gemma":[0.86318,0.001626042,0.0174854,0.003253048,0.01260114,0.00006316412,0.0001160422,0.003673568,0.0001750109,0.004244642,0.09346519,0.0001167622],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03465854,0.01740483,0.005290539,0.006316756,0.001072153,0.02500455,0.8815839,0.001050974,0.02761776],"genre_scores_gemma":[0.4195516,0.01453509,0.02304319,0.01092055,0.0007114261,0.103818,0.3312193,0.0007187555,0.09548221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9921277,"threshold_uncertainty_score":0.6532723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05692895259477479,"score_gpt":0.3632131569965749,"score_spread":0.3062842044018002,"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."}}