{"id":"W114988098","doi":"10.47761/494a02f6.86ea1d71","title":"The Return of the Repressed: Cybersubjectivity in ROBOCOP","year":2006,"lang":"en","type":"article","venue":"InVisible Culture","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Psychological repression; Chemistry; Biochemistry","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":[0.0001735645,0.00008911466,0.0001071454,0.00001315086,0.0003251363,0.00006581163,0.0003256391,0.00009967181,0.00005603513],"category_scores_gemma":[0.00003894529,0.00004359936,0.0001029773,0.00009412738,0.0005606792,0.00004944612,0.0000948309,0.0003128644,0.0000036339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000024442,"about_ca_system_score_gemma":0.00001544736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394023,"about_ca_topic_score_gemma":0.0143793,"domain_scores_codex":[0.9993516,0.00003861953,0.0001771536,0.0001370465,0.0001356472,0.0001599022],"domain_scores_gemma":[0.9993819,0.00005595783,0.0001037063,0.0003820631,0.00006800045,0.000008351255],"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":[0.00001033321,0.0001242724,0.01691929,0.0000173946,0.00003186966,0.000002300785,0.01696399,0.0000509267,0.001647633,0.7030625,0.2601671,0.001002403],"study_design_scores_gemma":[0.0002841545,0.0000227783,0.008763777,0.00004254379,0.00001406504,0.000002285424,0.003614955,0.00005069935,0.005163339,0.05132787,0.9305953,0.0001182176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7048084,0.002081496,0.000001894693,0.004353077,0.0005946445,0.0003280314,0.00002436179,0.00007106427,0.2877371],"genre_scores_gemma":[0.9841207,0.0000620698,0.00001883412,0.0001267833,0.0001713284,0.0000151719,0.000002056408,0.000007586841,0.0154755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6704283,"threshold_uncertainty_score":0.8023989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009223469726783782,"score_gpt":0.2011615960983226,"score_spread":0.1919381263715388,"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."}}