{"id":"W4406872169","doi":"10.1038/s41597-025-04465-3","title":"The UnconTrust Database for Studies of Unconscious Semantic Processing and Attentional Allocation","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Templeton World Charity Foundation; Canadian Institute for Advanced Research","keywords":"Unconscious mind; Computer science; Scope (computer science); Field (mathematics); Information processing; Database; Diversity (politics); Data science; Cognitive psychology; Psychology; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007826973,0.00007426344,0.0001096941,0.00005875931,0.001150944,0.0001244365,0.0005537005,0.00001407106,0.000001217933],"category_scores_gemma":[0.0009901288,0.00004509392,0.00001593022,0.0003328202,0.001581265,0.0002756579,0.0006034483,0.00004824928,0.000002463514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007203615,"about_ca_system_score_gemma":0.00005055253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003851637,"about_ca_topic_score_gemma":0.0001669485,"domain_scores_codex":[0.9988812,0.0000415884,0.0002012975,0.0005669401,0.0001535178,0.000155452],"domain_scores_gemma":[0.9988108,0.0003602221,0.00009129014,0.0005905854,0.0001307042,0.00001643259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007774026,0.0001522195,0.003084579,0.0002867288,0.00002929189,0.000002561487,0.0001726042,0.000001344641,0.7604239,0.003039317,0.1605306,0.07219914],"study_design_scores_gemma":[0.005235027,0.0003047335,0.02026429,0.001377223,0.001037702,0.00005665767,0.00943398,0.008320908,0.5985019,0.06062708,0.2937805,0.001059968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732155,0.005025811,0.0007072406,0.01279116,0.00432704,0.0009269323,0.002766799,0.00005366506,0.0001858904],"genre_scores_gemma":[0.9945668,0.0001150055,0.0001958753,0.0001930851,0.00002103153,0.00002793567,0.0001222464,0.000003243486,0.004754778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.161922,"threshold_uncertainty_score":0.8852249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3131693152591282,"score_gpt":0.4598831486699546,"score_spread":0.1467138334108264,"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."}}