{"id":"W4287010128","doi":"10.3390/diagnostics12081786","title":"Outcome Prediction Based on Automatically Extracted Infarct Core Image Features in Patients with Acute Ischemic Stroke","year":2022,"lang":"en","type":"article","venue":"Diagnostics","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute for Health and Care Research","keywords":"Medicine; Stroke (engine); Artificial intelligence; Feature (linguistics); Cohort; Radiology; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0009033753,0.0004084461,0.0004463175,0.0006844997,0.00009293992,0.0004254427,0.0002176363,0.0003997543,0.0004123645],"category_scores_gemma":[0.004047939,0.0001588734,0.0002834996,0.0002493592,0.0001556956,0.0003231745,0.0003157501,0.0003899061,0.0002017384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000226611,"about_ca_system_score_gemma":0.000204229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765754,"about_ca_topic_score_gemma":0.001998486,"domain_scores_codex":[0.9997984,0.00007034223,0.00002541984,0.00004868465,0.00002616932,0.00003107864],"domain_scores_gemma":[0.9990296,0.0005234425,0.0001711876,0.00009205168,0.0001070252,0.00007668098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003626585,0.0003173621,0.9239092,0.00003573119,0.0001508546,0.0003207354,0.00007565779,0.01955313,0.003136915,0.0001075624,0.0008180429,0.04794822],"study_design_scores_gemma":[0.0001312067,0.0009224524,0.7995248,0.00001886948,0.0001573858,0.0003777568,0.0001048501,0.1933928,0.004344914,0.0006859655,0.0003057721,0.0000332657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985964,0.00006778112,0.0008852765,0.00003333325,0.000004960711,0.000007443146,0.0002406083,0.00001595785,0.0001481917],"genre_scores_gemma":[0.9989038,0.00002991979,0.0003434085,0.000007014835,0.000007912365,0.000006801061,0.0006373636,0.00000187306,0.00006200831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001765754,"threshold_uncertainty_score":0.004777551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007668202409050257,"score_gpt":0.2468127462006848,"score_spread":0.2391445437916346,"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."}}