{"id":"W2110738794","doi":"10.1016/j.joen.2011.08.005","title":"Metallurgical Characterization of Controlled Memory Wire Nickel-Titanium Rotary Instruments","year":2011,"lang":"en","type":"article","venue":"Journal of Endodontics","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":195,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nickel titanium; Austenite; Materials science; Microstructure; Metallurgy; Martensite; Shape-memory alloy; Titanium; Differential scanning calorimetry; Diffusionless transformation; Composite material; Thermodynamics","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":[0.0002652642,0.0002250699,0.0002638283,0.0003950525,0.0003236836,0.0004407256,0.0004666385,0.0004290358,0.001750975],"category_scores_gemma":[0.0007801136,0.0002187621,0.0001660945,0.0002866141,0.0003930151,0.000376153,0.0001757994,0.0002048474,0.0002724048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002663349,"about_ca_system_score_gemma":0.0002936053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005704446,"about_ca_topic_score_gemma":0.001172476,"domain_scores_codex":[0.9995601,0.0000310768,0.00002828782,0.00007720965,0.0002518731,0.00005154291],"domain_scores_gemma":[0.9994942,0.0001410374,0.0001104546,0.00008569434,0.0001474927,0.00002108358],"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":[0.0002195607,0.00001827092,0.0009194718,0.00005799658,0.000006027421,0.0001007394,0.0001499633,0.0002169915,0.9906111,0.0001226727,0.00007754378,0.007499649],"study_design_scores_gemma":[0.00001102237,0.0004102482,0.01570823,0.000005302749,0.00001598428,0.0002958145,0.0002231707,0.001300588,0.9798957,0.00006151493,0.002059727,0.00001272436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940376,0.0004068404,0.003783902,0.00002658015,0.00001733375,0.00002774488,0.0001014524,0.00007822405,0.001520388],"genre_scores_gemma":[0.9967337,0.00007608405,0.001767262,0.000008377619,0.000003360871,0.00001015011,0.00006986642,0.00001816163,0.001313169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001750975,"threshold_uncertainty_score":0.005857587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820396577678025,"score_gpt":0.2341033566687403,"score_spread":0.20589939089196,"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."}}