{"id":"W1995992916","doi":"10.1142/9789812773678_0108","title":"DEVELOPMENT OF A DUAL TRACER PET METHOD FOR IMAGING DOPAMINERGIC NEUROMODULATION","year":2006,"lang":"en","type":"article","venue":"Astroparticle, Particle and Space Physics, Detectors and Medical Physics Applications","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; TRIUMF","funders":"","keywords":"Dopaminergic; TRACER; Dual (grammatical number); Pet imaging; Neuromodulation; Computer science; Neuroscience; Positron emission tomography; Dopamine; Psychology; Physics; Central nervous system; Art","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":[0.001198469,0.0006192322,0.000515673,0.0009398459,0.00036421,0.0006644647,0.001214758,0.00190637,0.001499167],"category_scores_gemma":[0.0007282193,0.0008176608,0.0003048652,0.0004838733,0.0005288127,0.0008986862,0.0006052788,0.001435199,0.0008453517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000379566,"about_ca_system_score_gemma":0.0006336974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006433011,"about_ca_topic_score_gemma":0.00151875,"domain_scores_codex":[0.9996332,0.00009264758,0.00001641242,0.0001355293,0.00008036468,0.00004181892],"domain_scores_gemma":[0.9996933,0.0001111051,0.00003322589,0.0000409675,0.00007166347,0.00004977499],"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":[0.0001357994,0.00005097277,0.0003470996,0.0000656043,0.00001302496,0.0001308681,0.00002392976,0.0001703504,0.9804592,0.0007708602,0.0001758013,0.01765646],"study_design_scores_gemma":[0.0001330254,0.001607083,0.003485704,0.0000420834,0.0001042251,0.004724654,0.00005247213,0.01713596,0.9491931,0.0007686422,0.02267669,0.0000763326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08473208,0.003170161,0.9068465,0.0004796504,0.0001295022,0.0004091228,0.0002314636,0.0006559314,0.003345585],"genre_scores_gemma":[0.09052879,0.001685216,0.9022841,0.0002092278,0.00003321356,0.0006992029,0.0002314042,0.00008943594,0.004239487],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00190637,"threshold_uncertainty_score":0.006338179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570786897648791,"score_gpt":0.3060610455127221,"score_spread":0.2903531765362342,"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."}}