{"id":"W4224303761","doi":"10.5539/mas.v16n2p23","title":"Maximum and Minimum Works Performed by T˜n","year":2022,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Physics; Alpha (finance); Ampere; Chemistry; Biochemistry; Mathematics; Thermodynamics; Statistics","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":[0.002214483,0.001233945,0.001041275,0.00192736,0.002004505,0.003484168,0.003117261,0.001124397,0.0295749],"category_scores_gemma":[0.009321063,0.0006282146,0.001219916,0.001808381,0.001306575,0.004134231,0.001581193,0.0008926079,0.00849844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657557,"about_ca_system_score_gemma":0.001998441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000973951,"about_ca_topic_score_gemma":0.001844999,"domain_scores_codex":[0.9972917,0.0004273502,0.0001991851,0.000701524,0.0007430945,0.0006371745],"domain_scores_gemma":[0.9931626,0.00213193,0.0004775334,0.002551572,0.001024005,0.0006523827],"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":[0.003352754,0.0007049385,0.007126654,0.001891437,0.0003033599,0.0005379334,0.001042728,0.1798559,0.05748762,0.1582374,0.03805455,0.5514047],"study_design_scores_gemma":[0.0003100136,0.001893824,0.01254865,0.0004394049,0.000324613,0.001578014,0.001674331,0.4226336,0.1373,0.2995023,0.1215463,0.000249021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.446997,0.002945267,0.3135746,0.001867663,0.0009118724,0.0004291156,0.004863834,0.006029313,0.2223814],"genre_scores_gemma":[0.7765115,0.001169689,0.1489332,0.0001925911,0.0002548227,0.0005712564,0.003494009,0.001434817,0.06743807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0295749,"threshold_uncertainty_score":0.09893793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007357212029661988,"score_gpt":0.2073315010508585,"score_spread":0.1999742890211965,"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."}}