{"id":"W4210447483","doi":"10.1002/mrm.29136","title":"Effective magnetic susceptibility of 3D‐printed porous metal scaffolds","year":2022,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Porosity; Materials science; Magnetic susceptibility; Quantitative susceptibility mapping; Imaging phantom; Biomedical engineering; Titanium alloy; Gyroid; Titanium; Porous medium; Composite material; Alloy; Magnetic resonance imaging; Metallurgy; Chemistry; Medicine; Nuclear medicine; Crystallography; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002421679,0.0001784919,0.0000921391,0.0002977889,0.00006601487,0.0002710455,0.0001218584,0.0001717282,0.0002271081],"category_scores_gemma":[0.0007445421,0.0001252895,0.0001007845,0.0001225075,0.0003016531,0.0001643481,0.0001678404,0.00009057496,0.00005047341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002058782,"about_ca_system_score_gemma":0.0001295541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004495865,"about_ca_topic_score_gemma":0.0003777838,"domain_scores_codex":[0.9998783,0.00002079709,0.0000071838,0.00001897105,0.00006205969,0.00001272295],"domain_scores_gemma":[0.9994038,0.0002979357,0.0001460979,0.0000438884,0.00008741695,0.00002086967],"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":[0.00009915709,0.00001062684,0.001232712,0.00003910943,0.000008682066,0.00007877135,0.00004685391,0.01471258,0.9794919,0.0001480096,0.0000180876,0.004113637],"study_design_scores_gemma":[0.000006412934,0.0001463114,0.006685246,0.000004917915,0.00001375257,0.0001439853,0.00002958701,0.03703563,0.9554358,0.0001497141,0.0003334836,0.00001516715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854898,0.0001324024,0.01379528,0.000008208056,0.000003487289,0.000005348169,0.00004000838,0.00008527189,0.0004401235],"genre_scores_gemma":[0.9963596,0.0000386814,0.003418776,0.000003221881,9.236065e-7,0.000004371986,0.00002851064,0.0000054789,0.0001402274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004495865,"threshold_uncertainty_score":0.001493752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004505826320934892,"score_gpt":0.211658346148912,"score_spread":0.2071525198279771,"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."}}