{"id":"W2121391647","doi":"10.7748/ns.29.3.33.s39","title":"Stroke Patient app","year":2014,"lang":"en","type":"article","venue":"Nursing Standard","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Stroke (engine); Medicine; Resource (disambiguation); Physical medicine and rehabilitation; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001063989,0.000073155,0.0001693809,0.00007536302,0.00005623039,0.00001345653,0.00002282151,0.00005099531,0.0001444617],"category_scores_gemma":[0.0001578335,0.00005864878,0.00009295162,0.00006210219,0.00007819774,0.00002808605,0.000003511734,0.00009760109,0.00003950338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564502,"about_ca_system_score_gemma":0.00004781441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001569325,"about_ca_topic_score_gemma":3.494029e-7,"domain_scores_codex":[0.9992676,0.00002999174,0.0001366282,0.0001398608,0.0002759331,0.0001499811],"domain_scores_gemma":[0.9995435,0.00007062412,0.00003311356,0.0001703365,0.00008362026,0.00009876553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005578239,0.0001537695,0.01230139,0.00004515395,0.00003039195,0.000003239971,0.0013814,0.00001245448,0.003965354,0.00322128,0.0307907,0.9475371],"study_design_scores_gemma":[0.003821843,0.004336556,0.06675632,0.001080849,0.000125499,0.00006982763,0.001993496,0.0004229992,0.01362187,0.001587245,0.9058883,0.0002952559],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8369393,0.0002019096,0.007721918,0.002588725,0.001256246,0.0002313158,0.00002138677,0.0001471675,0.150892],"genre_scores_gemma":[0.9937245,0.000006191226,0.004542682,0.0003720595,0.0001708264,0.00000395147,0.00000672958,0.00001337362,0.001159731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9472418,"threshold_uncertainty_score":0.2391628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007983541833201076,"score_gpt":0.2805470323221373,"score_spread":0.2725634904889362,"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."}}