{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001176066,0.0002256028,0.0003619175,0.0005704108,0.0003459901,0.00271892,0.0007536749,0.0009838823,0.005918403],"category_scores_gemma":[0.00803389,0.0004836914,0.0003372218,0.001082082,0.00103318,0.002194054,0.0009749202,0.001345095,0.0004642447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428776,"about_ca_system_score_gemma":0.0003032638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007421238,"about_ca_topic_score_gemma":0.001180048,"domain_scores_codex":[0.999719,0.00006626757,0.00001958625,0.00009588526,0.00005323973,0.0000460704],"domain_scores_gemma":[0.9951747,0.002917741,0.0007059136,0.0005368344,0.0003832715,0.0002815143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002546834,0.002483588,0.3946939,0.0009415349,0.001009813,0.001010727,0.005214771,0.006437839,0.1384333,0.08022771,0.005890073,0.3611099],"study_design_scores_gemma":[0.0001272144,0.000470124,0.8455049,0.0001174281,0.000327867,0.0009824714,0.002134757,0.01566482,0.004936087,0.1267397,0.002907919,0.00008665564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.9536334,0.001609193,0.01347925,0.003962156,0.0001184874,0.0001404634,0.0007591764,0.00004213198,0.02625579],"genre_scores_gemma":[0.9935322,0.0005607519,0.003414187,0.0002395976,0.0001228006,0.00007297396,0.0002139147,0.00002030573,0.001823272],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.005918403,"threshold_uncertainty_score":0.01979905,"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."}}