{"id":"W2892101159","doi":"10.1161/str.49.suppl_1.tp64","title":"Abstract TP64: Visual Perception, Cognition, and Non-Contrast CT Aspects","year":2018,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Context (archaeology); Contrast (vision); Stroke (engine); Cognition; Angiography; Radiology; Artificial intelligence; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002961925,0.0007619354,0.000429659,0.0007735268,0.0003096806,0.0008903875,0.0004736118,0.0005525023,0.005826823],"category_scores_gemma":[0.02168191,0.0001888495,0.0004037301,0.0004428732,0.0007020787,0.0007604655,0.0008541868,0.0003907761,0.0006038075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003151084,"about_ca_system_score_gemma":0.0002935424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001399199,"about_ca_topic_score_gemma":0.001005162,"domain_scores_codex":[0.9984962,0.0003081045,0.0001584884,0.0003334951,0.0006207491,0.00008304691],"domain_scores_gemma":[0.9853821,0.007623116,0.003792647,0.0009789737,0.00163918,0.0005840664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007193072,0.0008669804,0.8614774,0.0006448891,0.0007760597,0.0004722929,0.001587833,0.00195194,0.02023326,0.0001687704,0.001484638,0.1031428],"study_design_scores_gemma":[0.00004760897,0.001484266,0.9939346,0.00002481542,0.00007025207,0.0003540155,0.0001592868,0.001105021,0.002297633,0.0002252178,0.0002807466,0.00001673012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956875,0.0002573156,0.001448741,0.00003929255,0.00002966732,0.0001082067,0.0001459608,0.00003704601,0.002246229],"genre_scores_gemma":[0.9981523,0.0000553974,0.0008372726,0.00002534143,0.00002649813,0.0000602025,0.0001505826,0.00001695929,0.000675417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005826823,"threshold_uncertainty_score":0.01949269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009917747152192785,"score_gpt":0.2743024251374225,"score_spread":0.2643846779852297,"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."}}