{"id":"W1965155910","doi":"10.1161/strokeaha.109.570358","title":"Reliability of Measuring Lesion Volumes in Transient Ischemic Attack and Minor Stroke","year":2010,"lang":"en","type":"letter","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Lesion; Minor stroke; Intraclass correlation; Stroke (engine); Magnetic resonance imaging; Cardiology; Diffusion MRI; Nuclear medicine; Radiology; Internal medicine; Surgery; Stenosis","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01033742,0.0003210314,0.0006883092,0.0007919366,0.000279802,0.0006249698,0.0005414232,0.0007744366,0.0006372055],"category_scores_gemma":[0.08530115,0.0002830672,0.0002648364,0.0004079303,0.0009568494,0.0005304696,0.0007919185,0.0003719617,0.0005873249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000292812,"about_ca_system_score_gemma":0.0002280026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009538197,"about_ca_topic_score_gemma":0.0009958555,"domain_scores_codex":[0.985669,0.009362375,0.001752665,0.00101269,0.001875802,0.0003274717],"domain_scores_gemma":[0.9419152,0.03700154,0.009688949,0.00347418,0.007194031,0.0007261295],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007716586,0.00003850111,0.9730621,0.00009375066,0.0001393255,0.0001521596,0.0008171017,0.0002890069,0.0008062075,0.00005377342,0.000712294,0.02306397],"study_design_scores_gemma":[0.00006002746,0.0006869379,0.9878997,0.00007277614,0.0001339195,0.003334509,0.0004985676,0.003950865,0.001888949,0.0003539941,0.001088024,0.00003156664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995233,0.0009368344,0.001766677,0.000196666,0.00004178919,0.00004971072,0.0001383763,0.00003923769,0.001597767],"genre_scores_gemma":[0.9987401,0.0000848523,0.0008235559,0.00005505129,0.00003392847,0.00003074076,0.0001351187,0.000006274736,0.00009031911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9896626,"threshold_uncertainty_score":0.05467021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743603112400129,"score_gpt":0.2619554042243757,"score_spread":0.2345193731003744,"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."}}