{"id":"W4375867979","doi":"10.31234/osf.io/46vda","title":"I-frame Interventions Enhance S-frame Interventions","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychological intervention; Frame (networking); Spillover effect; Computer science; Psychology; Economics; Telecommunications; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007760334,0.001062665,0.0006961192,0.001024962,0.001009185,0.001635622,0.001150559,0.002740902,0.04522749],"category_scores_gemma":[0.0190074,0.0002696262,0.001123685,0.0006375494,0.00295744,0.00281658,0.004327208,0.001889226,0.002400408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00208173,"about_ca_system_score_gemma":0.003590597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519079,"about_ca_topic_score_gemma":0.001773672,"domain_scores_codex":[0.9945233,0.003093546,0.0001264267,0.0005871076,0.0007925351,0.0008771067],"domain_scores_gemma":[0.9904799,0.005133219,0.001586461,0.001176572,0.0006400469,0.0009837267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002135521,0.00831664,0.006298935,0.002332059,0.0002655323,0.000279641,0.003959156,0.006477244,0.006480908,0.6254717,0.02349863,0.3144841],"study_design_scores_gemma":[0.00473142,0.01023886,0.03920046,0.003050019,0.0009373008,0.0002906756,0.004987252,0.01973142,0.01751524,0.6994268,0.1997179,0.0001726768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2371249,0.001630516,0.1885769,0.05062189,0.001500253,0.004735232,0.001041279,0.002018134,0.5127509],"genre_scores_gemma":[0.928017,0.000930755,0.04699799,0.007427651,0.0003070314,0.002399425,0.0001776044,0.0001473933,0.01359523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04522749,"threshold_uncertainty_score":0.151301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07322650667368001,"score_gpt":0.3731384061564162,"score_spread":0.2999118994827362,"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."}}