{"id":"W2079197677","doi":"10.1088/1742-6596/444/1/012076","title":"Optical computed tomography liquid calibration phantom","year":2013,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Imaging phantom; Materials science; Scanner; Dosimeter; Calibration; Characterization (materials science); Optics; Biomedical engineering; Casting; Composite material; Nanotechnology; Medicine; Physics","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":[0.00006008942,0.0001551688,0.0002776214,0.00005856513,0.00006699792,0.000126139,0.0002116565,0.00003391456,0.0003931619],"category_scores_gemma":[0.000002928971,0.0001286051,0.000143314,0.0001677819,0.0001303401,0.001489202,0.00002764688,0.0002250091,0.000003169906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000134404,"about_ca_system_score_gemma":0.00008990232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001575151,"about_ca_topic_score_gemma":3.389305e-7,"domain_scores_codex":[0.9991384,0.00003591905,0.0003410034,0.000105315,0.0002005624,0.0001787982],"domain_scores_gemma":[0.9989684,0.0000376412,0.0003254803,0.0001404466,0.0004315984,0.0000964861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001504311,0.000340582,0.004391549,0.00002099989,0.0002828286,0.000004200453,0.0008781789,0.0001971423,0.2652426,0.4359286,0.001461201,0.2911017],"study_design_scores_gemma":[0.0003439883,0.0006644206,0.0006575063,0.0000671305,0.00002299764,0.000007821023,0.0002398635,0.0005967031,0.9210678,0.07481948,0.001287866,0.0002244048],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07647762,0.0000404515,0.921712,0.0003490036,0.0001312247,0.0001260149,0.000005786845,0.00003526011,0.001122678],"genre_scores_gemma":[0.9551494,0.00001289678,0.04406478,0.00005447268,0.0006307254,0.000008439758,0.000006543799,0.00001663685,0.00005606189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8786718,"threshold_uncertainty_score":0.5244365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191968775472976,"score_gpt":0.2537823845399427,"score_spread":0.2418626967852129,"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."}}