{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005442163,0.00007415616,0.0001098523,0.0003014973,0.00005955575,0.0002323787,0.000334005,0.00003384573,0.00001060212],"category_scores_gemma":[0.0001312238,0.00006599191,0.00006728302,0.000241351,0.00001117821,0.0004184405,0.0000440702,0.00006277936,0.00002074181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005320404,"about_ca_system_score_gemma":0.00005512862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.470308e-7,"about_ca_topic_score_gemma":2.105718e-7,"domain_scores_codex":[0.9990466,0.00004302314,0.0002869892,0.0001118599,0.0004227849,0.00008870906],"domain_scores_gemma":[0.9988563,0.0002954648,0.0003224369,0.00008073053,0.0003904586,0.00005462118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006700132,0.0002126463,0.0007810101,0.00001913424,0.0002187415,0.00003301857,0.0004552614,0.8038213,0.0004814045,0.05679841,0.01766023,0.1194519],"study_design_scores_gemma":[0.0005351737,0.00007382304,0.002275683,0.00007398618,0.00001256645,0.00001000515,0.00001873951,0.9921478,0.000289051,0.002140248,0.002351288,0.00007165717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009437928,0.000004563739,0.9933615,0.004884521,0.0005016398,0.00006171358,0.00001356094,0.00004206608,0.0001866012],"genre_scores_gemma":[0.2382011,0.00006185085,0.7581179,0.001964353,0.0004115858,0.000005575841,0.0001539225,0.00002500165,0.001058734],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2372573,"threshold_uncertainty_score":0.2691072,"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."}}