{"id":"W4328107776","doi":"10.18280/acsm.470102","title":"Performance Analysis of Cutting Parameters on 304 Stainless Steels Using Abrasive Water Jet Technique","year":2023,"lang":"en","type":"article","venue":"Annales de Chimie Science des Matériaux","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Water jet; Abrasive; Jet (fluid); Metallurgy; Mechanical engineering; Composite material; Mechanics; Engineering; Nozzle; Physics","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":[0.0004922347,0.0004704671,0.0004335786,0.0006382394,0.0001848743,0.0003285545,0.0004510197,0.0005194031,0.001321073],"category_scores_gemma":[0.0009012836,0.0002824555,0.0004653916,0.0005634218,0.0001561222,0.0002844715,0.0001435929,0.0002592739,0.0005093019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145272,"about_ca_system_score_gemma":0.0001673495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007943129,"about_ca_topic_score_gemma":0.002117098,"domain_scores_codex":[0.9992279,0.00004329696,0.0000584521,0.00009611064,0.0005052221,0.00006906171],"domain_scores_gemma":[0.9991046,0.0002505898,0.0002105958,0.00006496746,0.0003359204,0.00003345588],"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":[0.0002576789,0.00004171958,0.00137924,0.0003129831,0.00001534033,0.00008398166,0.0001107244,0.00295307,0.9803398,0.00005214008,0.0001625897,0.01429072],"study_design_scores_gemma":[0.000009528441,0.002086322,0.01917874,0.0000143748,0.00003546301,0.0001090032,0.0001210193,0.00929695,0.9674641,0.00005159266,0.001604213,0.00002866196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917392,0.001179177,0.004791165,0.00004280918,0.00002375946,0.00002214572,0.0003934058,0.0001499792,0.001658303],"genre_scores_gemma":[0.9935533,0.0005090167,0.00419405,0.0000103005,0.000006390068,0.00001726905,0.0002717748,0.00003992235,0.001398126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001321073,"threshold_uncertainty_score":0.004419446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05619734028386476,"score_gpt":0.3088844860082824,"score_spread":0.2526871457244177,"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."}}