{"id":"W2972708357","doi":"10.2351/1.5061318","title":"A numerical-experimental investigation on the deposition of Ti-45Nb on mild still using automated laser fabrication process","year":2008,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Fabrication; Titanium alloy; Deposition (geology); Coating; Corrosion; Microstructure; Laser; Alloy; Biocompatibility; Elastic modulus; Metallurgy; Titanium; Cladding (metalworking); Composite material; 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":[0.0000388857,0.0001218915,0.0001065437,0.00004791922,0.00008302378,0.00001501028,0.00006771598,0.00004391884,0.0001100155],"category_scores_gemma":[0.00002317905,0.00008584828,0.00002141921,0.000125587,0.0000423228,0.00009954569,0.00000617966,0.00005325479,0.00002192767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004717453,"about_ca_system_score_gemma":0.00001223335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003497728,"about_ca_topic_score_gemma":4.009143e-7,"domain_scores_codex":[0.9994292,0.00002643,0.0001678005,0.0001177952,0.0001529927,0.0001057853],"domain_scores_gemma":[0.9997092,0.00005260615,0.00005717544,0.0001025133,0.0000484056,0.00003002911],"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":[0.000123545,0.0002353118,0.0004636188,0.0003553825,0.00008109974,0.000005298265,0.002955058,0.456111,0.5362378,0.0003716493,0.002719587,0.000340585],"study_design_scores_gemma":[0.00009731777,0.0000661614,0.002578489,0.00005486378,0.000004908949,0.000003037828,0.00004657581,0.1023276,0.8946558,0.00004626961,0.00002305475,0.00009589014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996492,0.00001671083,0.001710633,0.00003811354,0.00008557387,0.000170394,0.00001000651,0.0004032716,0.001073345],"genre_scores_gemma":[0.9993439,0.000005375579,0.0003830109,0.000125148,0.00005212127,0.00002621963,0.00002903344,0.00002153248,0.00001362426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.358418,"threshold_uncertainty_score":0.3500791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04205820661133768,"score_gpt":0.2550849856859448,"score_spread":0.2130267790746071,"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."}}