{"id":"W4412554048","doi":"10.1080/0142159x.2025.2523468","title":"What do we become? Artificial intelligence and academic identity","year":2025,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Identity (music); Psychology; Cognitive science; Data science; Computer science; Philosophy; Aesthetics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001130447,0.0001233575,0.0002398373,0.00015,0.0001184619,0.00006784876,0.0001531355,0.0003845025,0.002911788],"category_scores_gemma":[0.001783419,0.0001047255,0.00005498602,0.0003712158,0.0002747967,0.0003473695,0.00008623074,0.00094772,0.0002217093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009502472,"about_ca_system_score_gemma":0.0003466427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001853191,"about_ca_topic_score_gemma":0.000102136,"domain_scores_codex":[0.9982945,0.00008682362,0.0005300397,0.0003192509,0.0004836696,0.0002856725],"domain_scores_gemma":[0.999159,0.0001412237,0.00005073709,0.0002287201,0.00008935814,0.0003309357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004716217,0.0001300973,0.03795582,0.0001212947,0.00002199163,0.0000121467,0.00180105,3.349966e-7,0.00003863225,0.01209859,0.002766547,0.9450063],"study_design_scores_gemma":[0.0001462791,0.0004499835,0.01269855,0.0067323,0.0003308282,0.0001416678,0.05386536,0.01415636,0.009931016,0.76679,0.1340425,0.0007151739],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8018769,0.01962766,0.01079028,0.1625613,0.003219427,0.0004110264,4.093532e-7,0.0001056462,0.001407328],"genre_scores_gemma":[0.9754555,0.01850378,0.0001047262,0.002101881,0.0007727171,0.00003271695,0.000005105454,0.00001094997,0.003012605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9442912,"threshold_uncertainty_score":0.9979997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2126214972424438,"score_gpt":0.4886567326402965,"score_spread":0.2760352353978526,"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."}}