{"id":"W6903493665","doi":"10.11575/prism/47767","title":"Assessing for Integrity in the Age of AI","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Transparency (behavior); Grading (engineering); Inclusion (mineral); Data integrity; Equity (law); Academic integrity; Information privacy; Risk assessment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.07635283,0.0005031837,0.000683164,0.002768978,0.008888108,0.01408302,0.002270074,0.008622724,0.008563151],"category_scores_gemma":[0.1796566,0.0005234306,0.0005621344,0.001206214,0.01819048,0.02248199,0.01852465,0.01316624,0.003160805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006657563,"about_ca_system_score_gemma":0.01952268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005617233,"about_ca_topic_score_gemma":0.01054827,"domain_scores_codex":[0.9210491,0.04777855,0.004538958,0.002876637,0.0207242,0.003032605],"domain_scores_gemma":[0.7931445,0.1191215,0.01031692,0.01100387,0.05264418,0.01376899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007220895,0.0001449712,0.01454109,0.0003995622,0.00003801046,0.0008241694,0.03995275,0.0003819449,0.0006403842,0.09291176,0.3838356,0.4662575],"study_design_scores_gemma":[0.000009779995,0.0001307001,0.005833796,0.002150424,0.000018629,0.001743124,0.02625599,0.0004923374,0.001082511,0.1078497,0.8543223,0.000110827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01372936,0.0125775,0.02477635,0.8698905,0.007916085,0.0001325276,0.0001066689,0.000412357,0.07045876],"genre_scores_gemma":[0.4397385,0.01989487,0.04740115,0.4203077,0.00782384,0.0006953845,0.0002818615,0.0006570636,0.06319962],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9913773,"threshold_uncertainty_score":0.4037972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4954904550086356,"score_gpt":0.5841056486028958,"score_spread":0.08861519359426018,"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."}}