{"id":"W2791087341","doi":"10.1007/s00170-018-1815-2","title":"Additive manufacturing functionally graded titanium structures with selective closed cell layout and controlled morphology","year":2018,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Extrusion; Porosity; Titanium; Morphology (biology); Composite material; Stiffness; Yield (engineering); Polymer; Biomedical engineering; Metallurgy","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":[0.0001627343,0.0002635443,0.0004204362,0.0004218975,0.00007897079,0.00004796693,0.0005498632,0.00014057,0.00008961406],"category_scores_gemma":[0.00004736852,0.0001819059,0.00005761498,0.00006472583,0.0002425119,0.0001969279,0.00009827258,0.0004717766,0.000009585535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553624,"about_ca_system_score_gemma":0.00002764665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003764567,"about_ca_topic_score_gemma":0.0000105092,"domain_scores_codex":[0.998813,0.00002567078,0.000413287,0.000181317,0.0002938733,0.0002729045],"domain_scores_gemma":[0.9991122,0.0001577084,0.0002751779,0.0001828301,0.0002209189,0.00005113626],"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":[0.004819374,0.00007838634,0.00006768351,0.00005386926,0.002542016,0.0004564768,0.0007616951,0.09797186,0.8668487,0.002956009,0.001322362,0.02212159],"study_design_scores_gemma":[0.003382218,0.0003608714,0.002084868,0.00004246205,0.00005701394,0.001055734,0.000162717,0.0001322685,0.9821055,0.00871366,0.001702854,0.000199826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909524,0.0002156847,0.006067579,0.0004854152,0.001409503,0.0002167456,0.0000155963,0.0002283182,0.0004087059],"genre_scores_gemma":[0.9926507,0.00009827641,0.006609319,0.00006026594,0.0004337097,0.00001638477,0.000003272494,0.00004971993,0.00007833503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1152568,"threshold_uncertainty_score":0.7417908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00371845004325173,"score_gpt":0.1990306803482133,"score_spread":0.1953122303049616,"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."}}