{"id":"W7029515952","doi":"","title":"Interconversion of Canadian Neurological Scale and Scandinavian Stroke Scale","year":2000,"lang":"en","type":"article","venue":"IRIS Research product catalog (Sapienza University of Rome)","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Stroke (engine); Clinical neurology; MEDLINE","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003236628,0.001063256,0.0009978461,0.01304414,0.001398882,0.002415452,0.001048727,0.0007322266,0.01577255],"category_scores_gemma":[0.01801709,0.0002838019,0.0014387,0.01027632,0.001116844,0.0008874565,0.001483326,0.001539954,0.009454398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003678554,"about_ca_system_score_gemma":0.006276475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1485275,"about_ca_topic_score_gemma":0.184844,"domain_scores_codex":[0.9939812,0.0007067032,0.001065747,0.0004784438,0.003184334,0.0005836042],"domain_scores_gemma":[0.9875393,0.001320906,0.0008361971,0.0004888148,0.009286446,0.0005283927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001701067,0.0002861673,0.1838328,0.0009099976,0.0003707537,0.0006940963,0.001209037,0.0007403461,0.001640673,0.01247591,0.5035319,0.2926073],"study_design_scores_gemma":[0.000224412,0.0001997346,0.4468715,0.0006552864,0.0001913523,0.001364618,0.001552465,0.0004948083,0.001084642,0.003703618,0.5434918,0.0001658042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.159275,0.01860886,0.0133286,0.004390892,0.0153188,0.004272476,0.2184284,0.002643499,0.5637335],"genre_scores_gemma":[0.4441745,0.01280143,0.04729969,0.003363072,0.002037046,0.009076284,0.3083805,0.001991611,0.1708758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1485275,"threshold_uncertainty_score":0.2953259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03745486491163982,"score_gpt":0.2939552728378174,"score_spread":0.2565004079261776,"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."}}