{"id":"W2618212023","doi":"10.22230/cjc.2017v42n2a3210","title":"Mindless: Why Smarter Machines are Making Dumber Humans","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Psychology; Cognitive psychology; Computer science; Cognitive science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004860648,0.000109548,0.0001604933,0.0002720182,0.001509377,0.0004128763,0.00184115,0.00007343465,0.0003421178],"category_scores_gemma":[0.002091356,0.0001072224,0.00006471376,0.0001145696,0.0007154277,0.0005757217,0.00008163269,0.0006117552,0.00003542095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111794,"about_ca_system_score_gemma":0.000280685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000789839,"about_ca_topic_score_gemma":0.03914342,"domain_scores_codex":[0.9987397,0.0001991223,0.0004466732,0.000131598,0.0002479755,0.0002348956],"domain_scores_gemma":[0.9970903,0.0001742075,0.00105144,0.001199494,0.0002709076,0.000213624],"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":[0.0001387036,0.0006452088,0.1665046,0.0002976689,0.0001938109,0.001497566,0.01631717,0.0001230259,0.1796077,0.2750938,0.2687968,0.09078399],"study_design_scores_gemma":[0.001910972,0.000205075,0.3118755,0.001485702,0.0001051839,0.0004746052,0.0004411829,0.0004699344,0.02552458,0.05835083,0.5983158,0.0008406675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8764051,0.0003331428,0.001880798,0.07726867,0.001639405,0.0002891739,0.00005060904,0.00002626333,0.04210682],"genre_scores_gemma":[0.9942086,0.00007028949,0.0004567724,0.004657316,0.0001352427,0.000003888782,0.000001932436,0.00001791156,0.0004480595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.329519,"threshold_uncertainty_score":0.9997905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300987476364631,"score_gpt":0.3605457636099093,"score_spread":0.2304470159734462,"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."}}