{"id":"W4412747800","doi":"10.1109/tmbmc.2025.3594064","title":"Tit-for-Tat or Hold a Grudge: Impact of Punishment on Strategic Interactions of Nano-Machines","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Molecular Biological and Multi-Scale Communications","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Punishment (psychology); Nano-; Business; Psychology; Computer science; Engineering; Social psychology","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":[0.002271168,0.0004298371,0.000916825,0.0004970207,0.001663613,0.002725843,0.001442106,0.001896698,0.01895202],"category_scores_gemma":[0.0279857,0.0003720061,0.000602409,0.0003652681,0.003560712,0.004275879,0.00199216,0.003195648,0.00088282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009932654,"about_ca_system_score_gemma":0.001498399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001647269,"about_ca_topic_score_gemma":0.001604458,"domain_scores_codex":[0.9987011,0.0006722815,0.00002522964,0.0001325152,0.0001638417,0.0003050294],"domain_scores_gemma":[0.9813235,0.01435214,0.001082258,0.0010681,0.0005941583,0.001579846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008261706,0.0002707271,0.002093423,0.0001755096,0.00007882793,0.0004201961,0.0006971919,0.1014644,0.005718358,0.8648462,0.006954451,0.01645448],"study_design_scores_gemma":[0.00008091221,0.000217975,0.001674102,0.00003168465,0.00003176865,0.0001073959,0.0005615181,0.3668554,0.0008013799,0.6278549,0.001737623,0.00004537072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8072636,0.001374283,0.09007148,0.0113217,0.0007107473,0.00007783117,0.0002339631,0.0002858481,0.08866061],"genre_scores_gemma":[0.9950311,0.0001517713,0.002076183,0.0001817504,0.0000388242,0.00001630099,0.00001197384,0.00003635226,0.002455681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01895202,"threshold_uncertainty_score":0.0634008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1993758848443289,"score_gpt":0.4280500237101396,"score_spread":0.2286741388658106,"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."}}