{"id":"W4399842894","doi":"10.1007/s42113-026-00306-7","title":"Need Second-hand Advice? The Timing of When People Seek Algorithmic Recommendations","year":2024,"lang":"en","type":"preprint","venue":"Computational Brain & Behavior","topic":"Leadership, Behavior, and Decision-Making Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada)","funders":"University of Technology Sydney","keywords":"Advice (programming); Internet privacy; Computer science; Psychology; Programming language","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":[0.005643672,0.0001565187,0.0004185524,0.0005638986,0.0003787484,0.00177683,0.0004612182,0.001072121,0.00356037],"category_scores_gemma":[0.06348939,0.0002717092,0.0002606878,0.0004708877,0.0006281482,0.001301285,0.0005698354,0.00122066,0.0005977648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000411787,"about_ca_system_score_gemma":0.0003463451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002924579,"about_ca_topic_score_gemma":0.004092038,"domain_scores_codex":[0.9976674,0.001216377,0.0001669724,0.0004098234,0.0003386391,0.0002008332],"domain_scores_gemma":[0.9374111,0.04590385,0.008420446,0.004155688,0.002236122,0.001872791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00521268,0.001624001,0.768619,0.0005393873,0.0004284486,0.0002998306,0.0221459,0.007605152,0.02802239,0.007310344,0.002886813,0.155306],"study_design_scores_gemma":[0.0001919863,0.001380826,0.9401158,0.0001308353,0.0001262018,0.0002163321,0.009509988,0.02759726,0.004605135,0.0127659,0.00317288,0.0001868732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965223,0.0001161424,0.001521874,0.0001772597,0.0000116306,0.00001556759,0.00007207249,0.00001771182,0.001545421],"genre_scores_gemma":[0.9985095,0.0000364017,0.000959688,0.0000474669,0.000005904245,0.00001641234,0.00005811287,0.000007484578,0.0003590241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005643672,"threshold_uncertainty_score":0.02984691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1463913918347822,"score_gpt":0.415464147622023,"score_spread":0.2690727557872408,"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."}}