{"id":"W7098672903","doi":"","title":"Positron Emission Tomography Scanning in Canada Context","year":2009,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Positron emission tomography; Context (archaeology); Brain positron emission tomography; Cyclotron; Emission computed tomography; Tomography; Positron","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00173117,0.0005842422,0.0004551167,0.002195212,0.002627682,0.003690149,0.001609626,0.002238969,0.02081736],"category_scores_gemma":[0.004514689,0.0002963891,0.0004041562,0.005009759,0.002305573,0.001502135,0.002132748,0.002658187,0.002731744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05980338,"about_ca_system_score_gemma":0.1244175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9572136,"about_ca_topic_score_gemma":0.9620567,"domain_scores_codex":[0.9978265,0.0002719955,0.00009500137,0.0002934092,0.0008563952,0.0006565956],"domain_scores_gemma":[0.9947442,0.0003242575,0.0001950516,0.0001205129,0.003537345,0.001078717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002555027,0.00009084747,0.01902851,0.000713085,0.00006269214,0.002851563,0.0007855212,0.00133784,0.001127662,0.2054419,0.5119991,0.2563057],"study_design_scores_gemma":[0.00003061454,0.0000279084,0.0158919,0.0004354008,0.00002022302,0.001168666,0.0005146025,0.0003430244,0.0003620447,0.005595057,0.9755633,0.00004717956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0170983,0.1347861,0.007756089,0.225609,0.006113181,0.0003426661,0.01192682,0.000603914,0.595764],"genre_scores_gemma":[0.344489,0.198472,0.01908708,0.06641339,0.003855484,0.0004249541,0.009553895,0.0004868291,0.3572173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05980338,"threshold_uncertainty_score":0.433906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005614773939497805,"score_gpt":0.1824010038634027,"score_spread":0.1767862299239049,"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."}}