{"id":"W2808918662","doi":"10.1007/s12598-018-1083-1","title":"Prediction of properties distribution of 7B50 alloy thick plates after quenching and aging by quench factor analysis method","year":2018,"lang":"en","type":"article","venue":"Rare Metals","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Materials science; Hardenability; Quenching (fluorescence); Alloy; Isothermal process; Cooling curve; Atmospheric temperature range; Composite material; Thermodynamics; Metallurgy; Analytical Chemistry (journal); Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002644736,0.0001929994,0.0004309282,0.0001273096,0.00004912336,0.00003275345,0.0001019747,0.0001096245,0.00007949769],"category_scores_gemma":[0.0001067754,0.0001486846,0.00008651469,0.0004198345,0.0001546551,0.0003130287,0.0000494041,0.0001166355,0.000001450059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000478064,"about_ca_system_score_gemma":0.00001479788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002256424,"about_ca_topic_score_gemma":0.00003516724,"domain_scores_codex":[0.9989014,0.00008961873,0.0004197854,0.0002124366,0.0001901606,0.0001866409],"domain_scores_gemma":[0.9993998,0.00003282144,0.0001021416,0.0002123969,0.0002098698,0.00004296153],"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":[0.00002502151,0.000008712858,0.01210902,0.0002828821,0.001075812,6.589067e-7,0.002994966,0.0006952721,0.9812798,0.00001453662,0.0001027477,0.001410552],"study_design_scores_gemma":[0.0001436106,0.00005964654,0.02253426,0.00009598345,0.0005556014,0.000006244707,0.0002098516,0.01761985,0.9579948,0.0000395028,0.0005631086,0.000177532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962884,0.004935618,0.03126423,0.00001591249,0.0001126236,0.0001657257,0.0004906839,0.00009916815,0.00003203676],"genre_scores_gemma":[0.9961286,0.00007898799,0.003555997,0.00000679653,0.00004236278,0.00002305522,0.0000714721,0.0000232014,0.0000694934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03324464,"threshold_uncertainty_score":0.6063182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391089408404576,"score_gpt":0.2212321231337854,"score_spread":0.2073212290497396,"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."}}