{"id":"W2267469779","doi":"","title":"Quantitative Comparison of Susceptibility-weighted Imaging Methods for Detection of Differences in Deep Grey Matter in Multiple Sclerosis","year":2012,"lang":"en","type":"article","venue":"Journal of undergraduate research in Alberta","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Contrast (vision); Image quality; Post hoc; Artificial intelligence; Pattern recognition (psychology); Nuclear medicine; Medicine; Computer science; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008717575,0.001060862,0.0007264259,0.005025695,0.0003568177,0.0008333209,0.0008382538,0.001060022,0.002298701],"category_scores_gemma":[0.01308548,0.0005199015,0.0003837399,0.001350401,0.0006487861,0.0009318907,0.0007045825,0.0003802041,0.0005452764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003019419,"about_ca_system_score_gemma":0.0002397682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003300844,"about_ca_topic_score_gemma":0.0008084957,"domain_scores_codex":[0.9959878,0.001696746,0.0003020935,0.0004074596,0.001512768,0.00009312764],"domain_scores_gemma":[0.9897137,0.005796916,0.00171908,0.000739825,0.001696703,0.0003337793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.008343219,0.0009534272,0.0972165,0.003248502,0.001765502,0.0003924993,0.0008349774,0.002086365,0.5997342,0.0007226713,0.000987321,0.283715],"study_design_scores_gemma":[0.0007823791,0.01083186,0.7137179,0.0002949179,0.001373653,0.006251039,0.000507059,0.04658591,0.2114283,0.002781963,0.005127238,0.0003177776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8388052,0.01964997,0.1369836,0.0001337872,0.0001691525,0.0009499292,0.0008385167,0.000551691,0.00191811],"genre_scores_gemma":[0.8560002,0.002915851,0.137608,0.0001001608,0.0001490363,0.001106763,0.0007655428,0.0001872831,0.001166921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008717575,"threshold_uncertainty_score":0.04610354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2823488977728022,"score_gpt":0.4803519719193315,"score_spread":0.1980030741465293,"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."}}