{"id":"W3086498102","doi":"10.22215/etd/2020-13919","title":"Analysis of Microstructure Evolution and Mechanical Properties of Linear Friction Welded Titanium Alloys","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Materials science; Welding; Microstructure; Ultimate tensile strength; Optical microscope; Martensite; Digital image correlation; Metallurgy; Indentation hardness; Titanium; Indentation; Composite material; Annealing (glass); Scanning electron microscope","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":[0.00005243496,0.0002064832,0.0006320401,0.0004156214,0.00002500911,0.000006380942,0.0001094781,0.0003235961,0.00004626537],"category_scores_gemma":[0.00003601564,0.0001879807,0.0002297025,0.000845146,0.00001595747,0.00006967963,0.00001846853,0.0002069624,6.209672e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006454962,"about_ca_system_score_gemma":0.000013488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001028288,"about_ca_topic_score_gemma":0.0002540703,"domain_scores_codex":[0.999024,0.00001611408,0.0004471824,0.0002251328,0.0001843567,0.0001032356],"domain_scores_gemma":[0.9994444,0.00001109508,0.0001597137,0.0002017688,0.0001445649,0.00003841584],"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":[0.00004749348,0.000009260225,0.00008838059,0.0005923182,0.001949696,5.050486e-7,0.0002464069,0.01559796,0.9802307,0.0008684943,0.00006640291,0.0003023881],"study_design_scores_gemma":[0.00008232989,0.00004696527,0.0008072984,0.00009701349,0.003527799,5.170147e-7,0.0004335369,0.3001771,0.6942813,0.0002204203,0.00008362056,0.0002420851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6969656,0.001848769,0.2983685,0.00003302342,0.0002797674,0.0004846046,0.00008670618,0.0008034031,0.001129559],"genre_scores_gemma":[0.982146,0.0003451149,0.01693627,0.00000306661,0.00002464268,0.000009616168,0.000352068,0.00003716729,0.0001460972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2859494,"threshold_uncertainty_score":0.7665631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008139924735665579,"score_gpt":0.2238719363654356,"score_spread":0.21573201162977,"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."}}