{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003273244,0.0005893722,0.0009816872,0.0009115394,0.0007861748,0.001185999,0.00198446,0.0003582767,0.002532577],"category_scores_gemma":[0.00195408,0.0004261943,0.0007042129,0.0009909535,0.0005112257,0.000215208,0.002494411,0.001322728,0.0005866909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870902,"about_ca_system_score_gemma":0.0007762804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001435142,"about_ca_topic_score_gemma":0.0004056132,"domain_scores_codex":[0.9928864,0.0005620616,0.002017872,0.001396885,0.002656913,0.0004798467],"domain_scores_gemma":[0.9848298,0.0113509,0.0009806813,0.001176583,0.001501803,0.0001602292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006747033,0.0007195671,0.006859877,0.0001207978,0.0003122978,0.0000916952,0.06660227,0.01219975,0.000200517,0.0027614,0.6189551,0.2911093],"study_design_scores_gemma":[0.001867412,0.0002788242,0.2174946,0.001306075,0.001361781,0.0001995388,0.04163253,0.06163053,0.0001435578,0.6215827,0.05020291,0.002299487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8750393,0.003475463,0.03156835,0.06673504,0.01199633,0.003526534,0.003600675,0.0005322369,0.003526127],"genre_scores_gemma":[0.966302,0.0000102804,0.02099699,0.0009478789,0.0005299057,0.0004517931,0.0004250588,0.0000933009,0.0102428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6188214,"threshold_uncertainty_score":0.9998509,"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."}}