{"id":"W1983237415","doi":"10.1109/afrcon.2009.5308065","title":"Psychoanalytical model for automation and robotics","year":2009,"lang":"en","type":"article","venue":"","topic":"Psychiatry, Mental Health, Neuroscience","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automation; Computer science; Robotics; Artificial intelligence; Extension (predicate logic); Data science; Range (aeronautics); Open research; Management science; Cognitive science; Software engineering; Engineering management; Human–computer interaction; Robot; Engineering; Psychology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00180479,0.0006676284,0.0003494354,0.001676593,0.001640688,0.004298039,0.001631058,0.002140641,0.004557749],"category_scores_gemma":[0.002154947,0.0002527999,0.000758218,0.0007348225,0.01737811,0.005096774,0.002329454,0.003468015,0.001308086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003661617,"about_ca_system_score_gemma":0.002184655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002069763,"about_ca_topic_score_gemma":0.0009987934,"domain_scores_codex":[0.9988521,0.0005144389,0.00004429006,0.000175606,0.0003017238,0.0001117875],"domain_scores_gemma":[0.9989348,0.0004351658,0.0001389049,0.0002142762,0.0001598944,0.0001169779],"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":[0.000001111319,0.000002446843,0.00001551253,0.000007005634,8.273447e-7,0.00001149369,0.0001261317,0.0002318872,0.0000200197,0.9985073,0.0004271379,0.0006489226],"study_design_scores_gemma":[0.000003804935,0.000006783773,0.00004668014,0.00001537556,0.000001439491,0.00005692288,0.0001171043,0.00149084,0.00003479592,0.9790333,0.01918913,0.000003783791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01358783,0.009884275,0.3723657,0.06508611,0.001090392,0.000174684,0.0002716951,0.0004003215,0.537139],"genre_scores_gemma":[0.8294098,0.00635992,0.1103614,0.005228968,0.0008850529,0.0005379284,0.0002265062,0.0001311418,0.04685939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004557749,"threshold_uncertainty_score":0.02656704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03301176138364708,"score_gpt":0.3252690936724441,"score_spread":0.292257332288797,"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."}}