{"id":"W4409287888","doi":"10.20944/preprints202504.0560.v1","title":"Addressing Lubrication Challenges in Extreme Conditions Experienced in Subtractive Processes in Additive-Subtractive Hybrid Manufacturing (ASHM) of AISI H13","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subtractive color; Lubrication; Suppression subtractive hybridization; Materials science; Physics; Chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.0005044786,0.0006515175,0.001003821,0.001052347,0.00005996108,0.00003992437,0.0006212148,0.0003812794,0.0004705866],"category_scores_gemma":[0.0006354916,0.000769151,0.0001050324,0.0003097853,0.0001553889,0.0006060882,0.000582812,0.001206146,0.00001976506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003628688,"about_ca_system_score_gemma":0.0002978022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000303373,"about_ca_topic_score_gemma":0.0006472564,"domain_scores_codex":[0.9965837,0.0002074373,0.001125101,0.001159594,0.0003451165,0.0005790654],"domain_scores_gemma":[0.9979553,0.0006519,0.0004696214,0.0006491672,0.0001906579,0.00008331692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001674823,0.004248893,0.117327,0.05498105,0.001059442,0.0008157894,0.1364099,0.4851975,0.1619237,0.0008239283,0.0001016788,0.03543621],"study_design_scores_gemma":[0.0004096805,0.000009687731,0.3109067,0.003088639,0.00001764393,0.000003890658,0.001724082,0.0002445032,0.6818905,0.000919199,0.0002975522,0.0004878751],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799317,0.001295035,0.000136669,0.00007996777,0.000417109,0.001098851,0.0005638723,0.0002048247,0.01627195],"genre_scores_gemma":[0.9934935,0.004453805,0.0001278017,0.0000111062,0.00008903108,0.001448608,0.0002678417,0.00006242207,0.00004588275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5199668,"threshold_uncertainty_score":0.999476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2798434064945762,"score_gpt":0.3554718852161722,"score_spread":0.075628478721596,"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."}}