{"id":"W2993495310","doi":"10.1007/s00170-019-04703-0","title":"Effect of tool quality on the machinability characteristics of Al-Cu and Al-Si cast alloys","year":2019,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Chicoutimi","funders":"","keywords":"Machinability; Metallurgy; Materials science; Quality (philosophy); Engineering drawing; Machining; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002853296,0.0002460991,0.0002934413,0.0003328574,0.0002295483,0.0004953798,0.0003129957,0.0003612655,0.001695134],"category_scores_gemma":[0.001563312,0.0003374167,0.0002293534,0.0003798771,0.0002794591,0.0003423762,0.0001993112,0.0003486592,0.000196986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002381579,"about_ca_system_score_gemma":0.0002089968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009909114,"about_ca_topic_score_gemma":0.002541011,"domain_scores_codex":[0.9997104,0.00002650924,0.00002071824,0.00004210388,0.0001401228,0.00006013184],"domain_scores_gemma":[0.9982638,0.0006980387,0.0003271501,0.0001660391,0.0004358195,0.0001092343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001208721,0.00004559104,0.003006383,0.00009437508,0.00002580903,0.0002024377,0.0001372725,0.001210258,0.9895219,0.00009512507,0.00009062349,0.004361615],"study_design_scores_gemma":[0.00003839536,0.001245824,0.02880682,0.000007692896,0.00004941604,0.0001690207,0.0001226701,0.005211364,0.9637087,0.00004929968,0.0005684539,0.00002243198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985434,0.0003145226,0.0005610866,0.00001761268,0.00001139143,0.00000482512,0.00006980248,0.00003522992,0.0004421106],"genre_scores_gemma":[0.9990097,0.00005795813,0.0003018244,0.000005776684,0.000003311616,0.00000168941,0.00004746822,0.00002427394,0.0005479242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001695134,"threshold_uncertainty_score":0.005670786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00477671159655717,"score_gpt":0.2410341030777556,"score_spread":0.2362573914811984,"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."}}