{"id":"W4321325529","doi":"10.2316/j.2023.206-0595","title":"METHOD BASED ON WORK–TIME NUMBERS FOR ATTRACTIVE SEGMENTS, 148-154.","year":2023,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Work (physics); Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009491968,0.0009220528,0.0007830003,0.002485269,0.0008229006,0.001633902,0.002211643,0.001030722,0.02336508],"category_scores_gemma":[0.00475843,0.0006017204,0.0006799424,0.001583526,0.001010754,0.002377184,0.001031158,0.001269441,0.009261037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007053289,"about_ca_system_score_gemma":0.001220846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00343358,"about_ca_topic_score_gemma":0.004795522,"domain_scores_codex":[0.9994339,0.0001038963,0.00003411579,0.0001315792,0.0002560462,0.00004046072],"domain_scores_gemma":[0.998982,0.000343977,0.00007014412,0.0001964715,0.0003436547,0.00006366055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005616579,0.0002556356,0.002310308,0.0006745776,0.00008368284,0.0001839318,0.0002984138,0.04259318,0.03741442,0.09962048,0.02965492,0.7863489],"study_design_scores_gemma":[0.00006767812,0.0001525386,0.00424381,0.0001073717,0.00007270496,0.0005128497,0.0003022476,0.8593177,0.02438281,0.05186675,0.0588615,0.0001119655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005815693,0.0006326387,0.9819564,0.0001856203,0.0005346459,0.0001196841,0.0003683739,0.001640129,0.008746737],"genre_scores_gemma":[0.1018723,0.0006458422,0.867963,0.00007469318,0.0001770992,0.0002791087,0.0007551488,0.001189521,0.02704336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02336508,"threshold_uncertainty_score":0.07816398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624679941189778,"score_gpt":0.3530469995307902,"score_spread":0.3268002001188924,"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."}}