{"id":"W3174542980","doi":"10.1088/1757-899x/1157/1/012017","title":"Friction Characterization of Al-Si Coated Ultra-High Strength Steel under Hot Stamping Conditions","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ford Motor Company (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Advanced Manufacturing Consortium; Ontario Centres of Excellence","keywords":"Materials science; Hot stamping; Surface roughness; Composite material; Die (integrated circuit); Quenching (fluorescence); Surface finish; Friction coefficient; Tool steel; Stamping; Galling; Metallurgy","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":[],"consensus_categories":[],"category_scores_codex":[0.0005085758,0.0001822794,0.0003015351,0.0001211096,0.0002517386,0.000444713,0.000193273,0.00005719552,0.0007856647],"category_scores_gemma":[0.0001669242,0.0001656699,0.00001948135,0.0003983329,0.0003188456,0.001306203,0.0000911892,0.00006009853,0.00001627486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003380312,"about_ca_system_score_gemma":0.000239987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007016309,"about_ca_topic_score_gemma":0.000008521488,"domain_scores_codex":[0.9984802,0.000047748,0.0003763268,0.0003698315,0.0003878086,0.0003381057],"domain_scores_gemma":[0.9989918,0.00002784548,0.0001285936,0.0002262371,0.0005224883,0.0001030231],"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":[0.00001962148,0.00001711405,0.00001147828,0.00008939857,0.000005446055,0.000002453245,0.0003199201,0.0001307694,0.990805,0.008519331,0.000003615254,0.00007590358],"study_design_scores_gemma":[0.0001387842,0.00006143166,0.009358948,0.0001243309,0.00001404951,0.00002460331,0.000403804,0.0001972362,0.9891343,0.00007818142,0.0002624932,0.0002018176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973388,0.00002531112,0.0008529063,0.0001823679,0.001053961,0.0001189187,0.0001660196,0.00009672282,0.0001649769],"genre_scores_gemma":[0.9989836,0.0001858851,0.0004675317,0.00007704312,0.00004923701,0.0000182727,0.00007153533,0.00001388493,0.0001330261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00934747,"threshold_uncertainty_score":0.8602478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099300975216972,"score_gpt":0.219643727045259,"score_spread":0.1986507172930893,"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."}}