{"id":"W4411635343","doi":"10.1016/j.dss.2025.114499","title":"Impact of categorization autonomy on effective use and adoption intentions","year":2025,"lang":"en","type":"article","venue":"Decision Support Systems","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research","funders":"","keywords":"Categorization; Autonomy; Psychology; Computer science; Political science; Artificial intelligence","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":[0.006367706,0.0002344056,0.0002301233,0.0007091005,0.0003656866,0.001893333,0.0002382058,0.0004741593,0.001972183],"category_scores_gemma":[0.04770737,0.0001733622,0.0004098754,0.0003350909,0.0009150691,0.00131905,0.001148105,0.0005985039,0.0002211168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003219708,"about_ca_system_score_gemma":0.0004914969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105224,"about_ca_topic_score_gemma":0.0009902036,"domain_scores_codex":[0.9958304,0.00244718,0.0003273545,0.000271793,0.0008316605,0.000291622],"domain_scores_gemma":[0.9222087,0.06428784,0.004907105,0.003357774,0.002637255,0.002601271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001688933,0.001886197,0.8625198,0.0002273863,0.0002516584,0.0002933015,0.01332515,0.003062954,0.01369205,0.002020562,0.0003870039,0.100645],"study_design_scores_gemma":[0.00007637811,0.001713431,0.9735058,0.00005438492,0.0001553241,0.0002254315,0.00607815,0.01091136,0.003337895,0.002597719,0.001277172,0.00006692101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978628,0.00004341366,0.000486292,0.0000458631,0.000002117261,0.00001222295,0.000009899474,0.00001075082,0.001526604],"genre_scores_gemma":[0.9995029,0.00001617464,0.0003159166,0.000007887915,0.000001824993,0.00000798199,0.00001384084,0.000002440274,0.0001310885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006367706,"threshold_uncertainty_score":0.03367603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07159805148784999,"score_gpt":0.4032096445829803,"score_spread":0.3316115930951303,"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."}}