{"id":"W4388262510","doi":"10.1257/rct.4295-3.0","title":"Soft and hard commitment devices to increase HIV testing","year":2019,"lang":"en","type":"dataset","venue":"AEA Randomized Controlled Trials","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; University of Minnesota","keywords":"Human immunodeficiency virus (HIV); Psychology; Computer science; Virology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02594255,0.0006987074,0.01587245,0.0008926563,0.0001965753,0.0003008366,0.0003603414,0.0003919227,0.002170463],"category_scores_gemma":[0.2050433,0.0004176672,0.002776107,0.000271433,0.0001522583,0.00009979751,0.0002480243,0.0006951064,0.001273259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098378,"about_ca_system_score_gemma":0.0005305128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039085,"about_ca_topic_score_gemma":0.0001229305,"domain_scores_codex":[0.9876114,0.006649907,0.003399154,0.0007278736,0.0009382443,0.0006734772],"domain_scores_gemma":[0.9418666,0.05341231,0.001722864,0.001216016,0.0007177617,0.001064433],"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":[0.4090512,0.000170487,0.000006230924,0.0002727692,0.003766239,0.00004644917,0.0000103606,0.00000114883,0.00009133996,0.000006013939,0.5850545,0.001523257],"study_design_scores_gemma":[0.5993959,0.0008739086,0.000003213376,0.001347819,0.005818656,0.00002250609,0.00002340435,0.0003268915,0.00001038706,0.00003428348,0.3919032,0.0002398597],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004995654,0.006744767,0.0003435755,0.003179025,0.0003449496,0.02795644,0.9591031,0.0000702923,0.001758301],"genre_scores_gemma":[0.0006571673,0.001047845,0.001088302,0.001428929,0.001377193,0.006443525,0.9610659,0.00007093453,0.02682019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1931513,"threshold_uncertainty_score":0.9998275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06905619605726096,"score_gpt":0.3787510489318139,"score_spread":0.3096948528745529,"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."}}