{"id":"W7101725183","doi":"10.1109/mc.2025.3596552","title":"IEEE 3152: A Standard for Human and Machine Agency Identification","year":2025,"lang":"","type":"article","venue":"Computer","topic":"Chemical synthesis and alkaloids","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Identification (biology); Agency (philosophy); Key (lock); Expert system","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":[0.01377889,0.001766428,0.001489829,0.005629106,0.004028259,0.008985603,0.003588508,0.008000303,0.01824562],"category_scores_gemma":[0.03319958,0.0009415644,0.001018373,0.003883607,0.003346666,0.007782775,0.005224984,0.005708061,0.02156863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003846379,"about_ca_system_score_gemma":0.009437079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006637823,"about_ca_topic_score_gemma":0.005560892,"domain_scores_codex":[0.9765202,0.006203272,0.00282251,0.00116169,0.01133809,0.001954267],"domain_scores_gemma":[0.9751031,0.004895853,0.001494083,0.004992513,0.012675,0.0008395582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006626009,0.0003615159,0.00164817,0.0009919507,0.00009284093,0.0007523297,0.001338776,0.0055382,0.01314676,0.4382958,0.3226813,0.2144897],"study_design_scores_gemma":[0.0000849736,0.0001842232,0.0008437221,0.0008305915,0.00006185753,0.0005258822,0.0003046024,0.007001066,0.008956553,0.07030401,0.9107231,0.0001793596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007892536,0.004744221,0.6482409,0.008739546,0.005964102,0.003304614,0.00577911,0.01328095,0.302054],"genre_scores_gemma":[0.2002934,0.01439864,0.4416757,0.01488015,0.004121511,0.01268538,0.0338489,0.004837163,0.2732591],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01824562,"threshold_uncertainty_score":0.07287061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872529427791546,"score_gpt":0.281049193639427,"score_spread":0.2623238993615116,"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."}}