{"id":"W2000900921","doi":"10.1016/j.matdes.2014.10.028","title":"Influence of Martensite–Austenite constituents formed at different intercritical temperatures on toughness","year":2014,"lang":"en","type":"article","venue":"Materials & Design (1980-2015)","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":152,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Key Research and Development Program of China; Companhia Brasileira de Metalurgia e Mineração","keywords":"Charpy impact test; Toughness; Martensite; Materials science; Austenite; Microstructure; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002055109,0.0002344933,0.000239124,0.0003570309,0.0003634099,0.0004479728,0.0002218306,0.000251126,0.001819048],"category_scores_gemma":[0.0006126077,0.0002388924,0.0002138117,0.0002809429,0.000345236,0.0003258761,0.0002776736,0.0002906637,0.0002338034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004986751,"about_ca_system_score_gemma":0.0004111679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680166,"about_ca_topic_score_gemma":0.00301024,"domain_scores_codex":[0.9998291,0.0000171849,0.00001100862,0.00004306321,0.00005363859,0.00004605632],"domain_scores_gemma":[0.9996191,0.0001120336,0.00007321128,0.00002031632,0.0001136876,0.00006159495],"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":[0.0008350405,0.00003611292,0.001992962,0.00006428285,0.00001833716,0.00009744177,0.00009211272,0.001121722,0.9931591,0.0001591437,0.00005861599,0.002365196],"study_design_scores_gemma":[0.00001263294,0.0003980272,0.0119984,0.000004572529,0.00004409118,0.00005646333,0.00006205668,0.001218375,0.9854043,0.00002764943,0.0007655491,0.000007852121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982533,0.0002864415,0.00027367,0.000009051418,0.00000869392,0.000005564162,0.00005262662,0.00001389877,0.00109668],"genre_scores_gemma":[0.9990506,0.00008694696,0.0001755233,0.000007324437,0.000002769197,0.000004404155,0.0000629388,0.00001397946,0.0005955606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001819048,"threshold_uncertainty_score":0.006085336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469017067087363,"score_gpt":0.2571658249501213,"score_spread":0.2324756542792477,"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."}}