{"id":"W4415237273","doi":"10.2174/0115734056418245250912095159","title":"Application Value of Intelligent Quick Magnetic Resonance for Accelerating Brain MR Scanning and Improving Image Quality in Acute Ischemic Stroke","year":2025,"lang":"en","type":"article","venue":"Current Medical Imaging Formerly Current Medical Imaging Reviews","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image quality; Magnetic resonance imaging; Quality (philosophy); Brain scanning; Acute stroke; Value (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006195778,0.0007153393,0.001794183,0.0005977741,0.0001770723,0.00009361224,0.0008407413,0.000159811,0.0001203639],"category_scores_gemma":[0.01099009,0.0006238496,0.0004497278,0.0008787343,0.0008826476,0.000440661,0.000775837,0.001750365,0.00001286069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004411326,"about_ca_system_score_gemma":0.0008024175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009311798,"about_ca_topic_score_gemma":0.000008114148,"domain_scores_codex":[0.9920221,0.0002992355,0.003298402,0.001398663,0.001815363,0.001166265],"domain_scores_gemma":[0.9961529,0.0009566377,0.0008783474,0.0008818055,0.0003157659,0.0008145794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008582732,0.000381164,0.03652835,0.006193057,0.00003504558,0.00001131755,0.000265064,1.514991e-7,0.004107254,0.0004167808,0.03050878,0.9214672],"study_design_scores_gemma":[0.006404748,0.00009592898,0.007161991,0.02436476,0.0006889437,0.00008606663,0.0003883881,0.188438,0.001937942,0.0001671418,0.7694178,0.0008483205],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04132106,0.4666786,0.4634785,0.01895269,0.002137724,0.005792868,0.00006580578,0.000213437,0.001359311],"genre_scores_gemma":[0.617449,0.2502451,0.09102174,0.02097752,0.004534093,0.01077731,0.002484485,0.000739622,0.001771124],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9206189,"threshold_uncertainty_score":0.9996213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663552750917191,"score_gpt":0.3809010195052274,"score_spread":0.3542654919960555,"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."}}