{"id":"W1770265634","doi":"10.2351/1.5061358","title":"Direct laser deposited titanium with controlled porosity for bone tissue engineering","year":2008,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Engineering and Physical Sciences Research Council; University of Waterloo; University of Manchester","keywords":"Materials science; Porosity; Titanium; Osseointegration; Composite material; Laser power scaling; Laser; Powder metallurgy; Metal powder; Fiber; Microstructure; Metallurgy; Metal; Implant; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004695098,0.0001706073,0.0003133159,0.00004282548,0.00007233935,0.000026014,0.00005469221,0.00004948794,0.0001303293],"category_scores_gemma":[0.00001975284,0.0001280803,0.0000339306,0.00005420587,0.00001385722,0.00009377403,0.000009742253,0.00004138287,0.00001586061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002035609,"about_ca_system_score_gemma":0.00000737492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001552043,"about_ca_topic_score_gemma":0.00001476887,"domain_scores_codex":[0.999424,0.000004492356,0.0001435843,0.0001317165,0.00007907992,0.0002171192],"domain_scores_gemma":[0.9996859,0.0000923909,0.00001965392,0.000100672,0.00004309207,0.00005830437],"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":[0.002283202,0.0002056892,0.0006970908,0.001954723,0.001082988,0.0003651355,0.0005821251,0.1991505,0.7698204,0.0004396352,0.02239654,0.001022],"study_design_scores_gemma":[0.001829048,0.00008382678,0.001138884,0.00002084387,0.00002837708,0.00003856514,0.000004390477,0.002000012,0.9874063,0.000003618813,0.007206321,0.0002398309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8441719,0.0002709714,0.1447143,0.00002972318,0.0002845978,0.0006672926,0.00006683221,0.001191242,0.0086031],"genre_scores_gemma":[0.9928555,0.00003139587,0.005926811,0.00002653512,0.0001306973,0.0000994396,0.00002527754,0.0000461911,0.0008581032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2175859,"threshold_uncertainty_score":0.5222963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006671249407256732,"score_gpt":0.1791177350370382,"score_spread":0.1724464856297814,"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."}}