{"id":"W4386272430","doi":"10.1017/s0140525x23000900","title":"i-Frame interventions enhance s-frame interventions","year":2023,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Psychological intervention; Frame (networking); Spillover effect; Computer science; Psychology; Economics; Telecommunications; Microeconomics; Psychiatry","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":["insufficient_payload"],"category_scores_codex":[0.00119885,0.0005530746,0.0006963213,0.0008097494,0.0009243871,0.0004167983,0.001124187,0.00101342,0.006149829],"category_scores_gemma":[0.00008722406,0.0004920566,0.001364905,0.001107345,0.001556193,0.0003861059,0.0003957767,0.002254072,0.002189365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008137033,"about_ca_system_score_gemma":0.000110628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002523228,"about_ca_topic_score_gemma":0.0009685832,"domain_scores_codex":[0.9949653,0.000455327,0.001321021,0.00139309,0.0006223196,0.001243004],"domain_scores_gemma":[0.9980797,0.0002822988,0.0005650931,0.000664096,0.0001452688,0.0002635929],"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":[0.000006372456,0.00038015,0.001030947,0.0002311456,0.00002325819,0.0001472401,0.000353972,1.075887e-7,0.00001944821,0.0006174677,0.9676514,0.02953848],"study_design_scores_gemma":[0.0006231642,0.003472605,0.03088921,0.004913994,0.0004807817,0.0001663346,0.001744353,0.000007740672,0.00001807972,0.002545258,0.9537006,0.001437883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1428179,0.004474017,0.0003752125,0.8328583,0.01227177,0.001532843,0.001401918,0.0008676776,0.003400335],"genre_scores_gemma":[0.07838432,0.0002585581,0.001575508,0.3399136,0.005448718,0.002664718,0.00160037,0.0002928285,0.5698614],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5664611,"threshold_uncertainty_score":0.9997531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2760973812741468,"score_gpt":0.5170228651449466,"score_spread":0.2409254838707998,"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."}}