{"id":"W1157300251","doi":"10.1118/1.4923783","title":"SU‐C‐213‐02: Characterizing 3D Printing in the Fabrication of Variable Density Phantoms","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Materials science; Scanner; Calibration; Polystyrene; Dosimetry; Imaging phantom; Fused filament fabrication; Nuclear medicine; Optics; 3D printing; Composite material; Physics; Polymer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001200295,0.0004373621,0.0001903413,0.000410133,0.0001709313,0.0007011213,0.0004774165,0.0004541126,0.0005723787],"category_scores_gemma":[0.001856706,0.0003203927,0.0002443246,0.0003298039,0.0004721165,0.0002641086,0.0002727955,0.000282609,0.0002991702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004900733,"about_ca_system_score_gemma":0.0002560821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006379907,"about_ca_topic_score_gemma":0.0008437511,"domain_scores_codex":[0.9992447,0.0001373312,0.00003720894,0.0001024163,0.0004357525,0.00004268919],"domain_scores_gemma":[0.998919,0.0004911711,0.0002148783,0.0002063747,0.0001389663,0.00002963411],"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":[0.00003658191,0.00002220408,0.0007148501,0.00005478837,0.00000489476,0.00005666042,0.00005871144,0.002257727,0.9897609,0.0001925875,0.00006676242,0.006773311],"study_design_scores_gemma":[0.000002805325,0.00007571052,0.002359305,0.000004207999,0.000005899066,0.0001829271,0.000009177084,0.007897328,0.9879761,0.00004831915,0.001427954,0.0000102608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7026623,0.001583848,0.2902248,0.0001657279,0.00004630537,0.0001779161,0.0004544009,0.001226603,0.003458031],"genre_scores_gemma":[0.7640148,0.0009271043,0.231961,0.00008458323,0.00001313076,0.0001548372,0.000409025,0.0002435989,0.002191871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001200295,"threshold_uncertainty_score":0.006347835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951178593319552,"score_gpt":0.2885503833523296,"score_spread":0.2690385974191341,"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."}}