{"id":"W6888955029","doi":"10.25384/sage.21993108","title":"sj-jpg-6-wso-10.1177_17474930231152124 – Supplemental material for Characterizing mixed location hemorrhages/microbleeds with CSF markers","year":2023,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Stroke (engine); Biopower; MEDLINE; Perivascular space","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002188529,0.001466147,0.001623172,0.003399786,0.001521947,0.003827701,0.002838224,0.003898519,0.7376633],"category_scores_gemma":[0.007620384,0.001705908,0.001292885,0.002664791,0.0005896004,0.002548044,0.002224286,0.002840598,0.5210869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374183,"about_ca_system_score_gemma":0.002860352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007328663,"about_ca_topic_score_gemma":0.01525297,"domain_scores_codex":[0.9984872,0.0001652132,0.0002021779,0.0002444277,0.0006712939,0.0002295866],"domain_scores_gemma":[0.9942642,0.001862566,0.0004564155,0.0008384052,0.001489413,0.001089026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000441707,0.0001619636,0.0006810319,0.0004217264,0.00002679996,0.000107802,0.00002961576,0.00008985845,0.003278947,0.0006565157,0.980738,0.01336617],"study_design_scores_gemma":[0.0008975192,0.0002394353,0.007618291,0.0003788201,0.0000508151,0.0005855913,0.0001076887,0.0004446225,0.007279608,0.002144275,0.9801784,0.00007484795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001408321,0.0005610375,0.005337976,0.001947404,0.00135724,0.0007061376,0.9120371,0.01407019,0.06257462],"genre_scores_gemma":[0.006225598,0.0008362398,0.01184425,0.001967796,0.000532452,0.001442214,0.8962554,0.009672493,0.07122356],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7376633,"threshold_uncertainty_score":0.3741915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03938597163689068,"score_gpt":0.3012503249049922,"score_spread":0.2618643532681015,"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."}}