{"id":"W4405240087","doi":"10.21105/joss.07399","title":"SlicerSPECTRecon: A 3D Slicer Extension for SPECT Image Reconstruction","year":2024,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Extension (predicate logic); Computer science; Computer graphics (images); Artificial intelligence; Computer vision; Image (mathematics); Programming language","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":[0.001321207,0.001643234,0.001055347,0.0008678272,0.0004010172,0.001353049,0.00257573,0.0009786483,0.05395199],"category_scores_gemma":[0.003837615,0.001216531,0.001496597,0.0005714701,0.0003485609,0.001119837,0.002618376,0.001835031,0.01972886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003744221,"about_ca_system_score_gemma":0.001532423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058155,"about_ca_topic_score_gemma":0.004106235,"domain_scores_codex":[0.9995598,0.00006786644,0.00004460776,0.00007175662,0.0002006332,0.0000552955],"domain_scores_gemma":[0.9989491,0.0003527416,0.0000786794,0.0002151824,0.0003050505,0.00009914114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002898257,0.0002499624,0.005225163,0.001905189,0.0005655143,0.001717197,0.000752954,0.0133235,0.0881263,0.01063296,0.5713753,0.3032278],"study_design_scores_gemma":[0.0007218689,0.0003381726,0.007590611,0.0004178241,0.0002505692,0.005473365,0.00009568696,0.1510627,0.1533523,0.01564289,0.6644967,0.0005572946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01246899,0.0008351189,0.585918,0.0003539446,0.0002961026,0.0005652616,0.03440714,0.3517228,0.01343267],"genre_scores_gemma":[0.06941398,0.0009732004,0.6510928,0.001320543,0.0001483443,0.001583241,0.06737923,0.192249,0.01583965],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05395199,"threshold_uncertainty_score":0.1804874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03526505073734853,"score_gpt":0.3594754118826237,"score_spread":0.3242103611452751,"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."}}