{"id":"W2529721378","doi":"10.1007/978-3-319-41402-7_11","title":"Neural Correlates of Technological Ambivalence: A Research Proposal","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Ambivalence; Psychology; Object (grammar); Neural correlates of consciousness; Social psychology; State (computer science); Neural system; Cognition; Cognitive psychology; Cognitive science; Computer science; Artificial intelligence; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.0004495018,0.0001624132,0.0002681642,0.0002497188,0.0001064404,0.00008451568,0.0001160231,0.0003483992,0.0001044864],"category_scores_gemma":[0.00004548187,0.0001210267,0.00004041006,0.00007363754,0.0002321452,0.0003067904,0.000067198,0.0004307238,0.00003534065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006580817,"about_ca_system_score_gemma":0.00009769028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007868595,"about_ca_topic_score_gemma":0.000003203877,"domain_scores_codex":[0.9987946,0.00003783889,0.0005455874,0.0001363703,0.0003262064,0.0001594523],"domain_scores_gemma":[0.9990335,0.000188553,0.0003449038,0.0001557692,0.0002452637,0.00003201632],"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":[0.000009458732,0.000005548256,0.006221871,0.0001109299,0.00001514497,2.103332e-7,0.0007387644,0.000139892,0.00006013005,0.9644166,0.000009137999,0.02827235],"study_design_scores_gemma":[0.001950486,0.0005496463,0.005673608,0.003060878,0.00004919283,0.00001625754,0.001559301,0.01332598,0.0007994858,0.9477187,0.02382415,0.001472331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09909695,0.001685194,0.1922698,0.002620129,0.002210694,0.007667656,0.001259179,0.0003511157,0.6928393],"genre_scores_gemma":[0.9990328,0.00003364518,0.00006150875,0.00001014451,0.0001023297,0.00001692346,0.00006519048,0.00001157996,0.000665903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8999358,"threshold_uncertainty_score":0.4935325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818111208306891,"score_gpt":0.2782763021826156,"score_spread":0.2600951900995467,"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."}}