{"id":"W4404232621","doi":"10.1007/s40979-024-00175-2","title":"Future-proofing integrity in the age of artificial intelligence and neurotechnology: prioritizing human rights, dignity, and equity","year":2024,"lang":"en","type":"article","venue":"International Journal for Educational Integrity","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Dignity; Equity (law); Human rights; Psychology; Political science; Business; Law","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005541266,0.0001446388,0.0002401356,0.0004216214,0.0002320973,0.0003140147,0.0005468215,0.0003062732,0.00006064646],"category_scores_gemma":[0.005832968,0.0001000845,0.0001279358,0.0002250884,0.0006301943,0.0002115946,0.0002596443,0.005024929,0.000003238044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002068434,"about_ca_system_score_gemma":0.000539686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002494645,"about_ca_topic_score_gemma":0.0009503068,"domain_scores_codex":[0.9976419,0.0001345694,0.0007502098,0.0003306743,0.0009231934,0.0002194194],"domain_scores_gemma":[0.9928493,0.005810121,0.0001172919,0.0001678469,0.0009607507,0.00009471771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001238418,0.0003433359,0.004279365,0.0002050676,0.00009008946,0.00007211808,0.0007599486,4.206121e-7,0.002137732,0.9704428,0.0003719979,0.02117332],"study_design_scores_gemma":[0.0001364829,0.0002418342,0.02320962,0.0007293805,0.00003270394,0.0007682919,0.0007541908,0.0003383458,0.0008646203,0.9692286,0.003602607,0.00009338869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8636504,0.001123915,0.003009729,0.1278519,0.002733765,0.0005159898,0.00004992017,0.00002444163,0.001039848],"genre_scores_gemma":[0.9938769,0.0002949963,0.003409479,0.0003935379,0.001788421,0.00003342775,0.00002965616,0.00001195652,0.000161572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1302265,"threshold_uncertainty_score":0.9972705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4877763892982634,"score_gpt":0.6122569691056695,"score_spread":0.1244805798074061,"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."}}