{"id":"W4243109604","doi":"10.1007/978-3-319-95966-5_2","title":"Hardened Steels","year":2018,"lang":"en","type":"book-chapter","venue":"Materials forming, machining and tribology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Materials science; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001950531,0.0004459248,0.0006465762,0.0001756933,0.000152106,0.0000828059,0.0001517859,0.0005034117,0.001543186],"category_scores_gemma":[0.00002983756,0.0004381645,0.00005114921,0.00001802544,0.0001167184,0.0001177087,0.0000982129,0.0002272882,0.0001090699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003730638,"about_ca_system_score_gemma":0.00002115225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000531469,"about_ca_topic_score_gemma":0.000008437802,"domain_scores_codex":[0.998705,0.00001235816,0.0004609985,0.0003653801,0.0001059888,0.0003502459],"domain_scores_gemma":[0.9993899,0.00005409968,0.000183289,0.000237611,0.0000502463,0.00008479439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002362878,0.0001660625,0.0002091508,0.01505741,0.005161986,0.0008117294,0.01774075,0.05746,0.03622394,0.5121391,0.04002636,0.3126406],"study_design_scores_gemma":[0.002077834,0.0006891649,0.00003071949,0.00076223,0.0004343489,0.0004148936,0.00004613758,0.002159534,0.02112017,0.08042552,0.889523,0.002316488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04495453,0.007012414,0.03262982,0.0001014469,0.008929415,0.0009745749,0.0007761173,0.002935532,0.9016861],"genre_scores_gemma":[0.5136867,0.009118497,0.01977064,0.0005887478,0.004087809,0.0001294569,0.002448166,0.001308501,0.4488615],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8494966,"threshold_uncertainty_score":0.999807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0095829259314563,"score_gpt":0.2139791610705871,"score_spread":0.2043962351391309,"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."}}