{"id":"W2082956416","doi":"10.1179/174951410x12712449937360","title":"Steel wire patenting: thermal and metallurgical comparison between quenching in lead and quenching in a fluidised bed","year":2010,"lang":"en","type":"article","venue":"International Heat Treatment and Surface Engineering","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quenching (fluorescence); Metallurgy; Materials science; Thermal; Lead (geology); Thermodynamics; Physics; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000477584,0.0001695591,0.0003278693,0.000455872,0.00034842,0.0004040096,0.0003564194,0.0004004707,0.002482235],"category_scores_gemma":[0.001153079,0.0001065016,0.000250573,0.0004727341,0.000357384,0.0005006162,0.0001671417,0.0002845293,0.0002730726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005934982,"about_ca_system_score_gemma":0.0002595546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002743311,"about_ca_topic_score_gemma":0.004330632,"domain_scores_codex":[0.9995384,0.00005428438,0.00002091728,0.00006450291,0.0002626177,0.00005920843],"domain_scores_gemma":[0.9995022,0.0001648898,0.00007499744,0.00004399371,0.0001842952,0.00002969664],"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":[0.0004185801,0.00007951239,0.0009404348,0.0002088832,0.00001960617,0.0001018438,0.0001470417,0.001539112,0.9816,0.0005153086,0.0002162775,0.01421341],"study_design_scores_gemma":[0.00001870574,0.001495232,0.008078723,0.000005559874,0.00003663014,0.0001462822,0.00006175631,0.003099633,0.9836505,0.00009747193,0.003294328,0.0000151792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881414,0.002281587,0.004835347,0.00005113641,0.00005850067,0.00005256363,0.0001522205,0.0001310753,0.004296148],"genre_scores_gemma":[0.9933514,0.0006986447,0.002287915,0.0000131406,0.00001152274,0.00001571603,0.0002849311,0.00004955247,0.0032872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002743311,"threshold_uncertainty_score":0.008303881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292958557814448,"score_gpt":0.2368596104284594,"score_spread":0.2239300248503149,"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."}}