{"id":"W2540448545","doi":"10.1109/nssmic.2013.6829396","title":"Applying a [<sup>11</sup>C]raclopride template to automated binding potential estimation in HRRT brain PET","year":2013,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Raclopride; Artificial intelligence; Computer science; Binding potential; Segmentation; Pattern recognition (psychology); Machine learning; Positron emission tomography; Nuclear medicine; Neuroscience; Medicine; Psychology; Striatum","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":[0.001694801,0.0008287351,0.0008436977,0.0008631488,0.0004035883,0.00169425,0.001593666,0.001425576,0.005536813],"category_scores_gemma":[0.005304302,0.0009972408,0.0009908156,0.001039799,0.0005438259,0.0008819721,0.0007154925,0.0008244814,0.004797115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006731684,"about_ca_system_score_gemma":0.001982518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005786687,"about_ca_topic_score_gemma":0.01241507,"domain_scores_codex":[0.9992719,0.0001633104,0.00006781844,0.0002009936,0.0002376952,0.00005838519],"domain_scores_gemma":[0.9990689,0.0003198117,0.00009294821,0.0003010086,0.0001897982,0.00002754614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009044717,0.0002121473,0.002584332,0.0007205375,0.0001951609,0.001534082,0.0004744499,0.04375669,0.3541079,0.01264402,0.01233135,0.5705349],"study_design_scores_gemma":[0.000120765,0.0006369433,0.01159811,0.000130716,0.0002085307,0.003988835,0.0001806787,0.307493,0.6060893,0.007645066,0.06163644,0.0002716166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02502876,0.0003460381,0.9626707,0.00012506,0.00008163381,0.0003991106,0.0006932371,0.007961587,0.002693793],"genre_scores_gemma":[0.07341492,0.0005568612,0.9157738,0.000157149,0.00002975107,0.0007420366,0.00166132,0.002321838,0.005342325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005786687,"threshold_uncertainty_score":0.0185225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603312942594621,"score_gpt":0.3132895873565639,"score_spread":0.2972564579306177,"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."}}