{"id":"W4232315804","doi":"10.1145/3175516","title":"Proceedings of the 2017 International Conference on Automation, Control and Robots","year":2017,"lang":"en","type":"paratext","venue":"","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Automation; Robot; Engineering management; Pleasure; Engineering ethics; Control (management); Engineering; Library science; Political science; Computer science; Management; Mechanical engineering; Artificial intelligence; Psychology; Economics; Law","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":[0.002627383,0.001224603,0.001370744,0.001265006,0.0008682188,0.004973099,0.00161987,0.00151685,0.1049469],"category_scores_gemma":[0.003285833,0.0002961999,0.0007469986,0.001089296,0.001237915,0.002650348,0.002071257,0.002771578,0.04260011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022264,"about_ca_system_score_gemma":0.002561017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001924728,"about_ca_topic_score_gemma":0.002605874,"domain_scores_codex":[0.9979604,0.0003386652,0.0001319792,0.0002567859,0.001102888,0.0002092769],"domain_scores_gemma":[0.9972172,0.0004470691,0.00009943604,0.0004054803,0.001253079,0.0005778231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003070089,0.0001872015,0.0006516277,0.0005868844,0.00009525086,0.0002427881,0.0001930379,0.002934726,0.00373066,0.0228114,0.6117133,0.3565461],"study_design_scores_gemma":[0.00001676604,0.0001233272,0.0007803846,0.0001845739,0.00003077826,0.0002922709,0.0001416979,0.005080758,0.001912172,0.00914791,0.982264,0.00002531333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01293335,0.05812741,0.2720028,0.02012865,0.1630593,0.0007281628,0.00231376,0.003954909,0.4667517],"genre_scores_gemma":[0.07623179,0.04883606,0.07004391,0.002644145,0.02489107,0.0006337861,0.009601093,0.001501358,0.7656168],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1049469,"threshold_uncertainty_score":0.3510824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908018405741503,"score_gpt":0.2551734070696412,"score_spread":0.2360932230122262,"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."}}