{"id":"W2997426534","doi":"10.4103/bc.bc_20_19","title":"Selection of preclinical models to evaluate intranasal brain cooling for acute ischemic stroke","year":2019,"lang":"en","type":"review","venue":"Brain Circulation","topic":"Thermal Regulation in Medicine","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Kingston General Hospital","funders":"","keywords":"Nasal administration; Selection (genetic algorithm); Medicine; Stroke (engine); Ischemic stroke; Neuroscience; Intensive care medicine; Cardiology; Psychology; Computer science; Ischemia; Artificial intelligence; Pharmacology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001738393,0.000410342,0.002108422,0.000478549,0.00004373422,0.00001469081,0.0001659732,0.0006330273,0.00007742018],"category_scores_gemma":[0.001271215,0.0003675779,0.0006447824,0.0004998242,0.00005160641,0.0001357964,0.00003763063,0.0004171441,0.00002374724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003608716,"about_ca_system_score_gemma":0.0006977856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007236101,"about_ca_topic_score_gemma":0.000002322578,"domain_scores_codex":[0.996576,0.0002274199,0.001502031,0.000662654,0.0006884054,0.0003434949],"domain_scores_gemma":[0.9964952,0.001550218,0.0007734127,0.0005050405,0.0004821633,0.0001939976],"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":[0.000534198,0.000124391,0.00003810813,0.01937679,0.001351382,0.000001518881,0.0002689152,0.005724409,0.002562234,0.0003867219,0.008355237,0.9612761],"study_design_scores_gemma":[0.004776868,0.0009932199,0.0004970913,0.02494199,0.009997736,0.0001836526,0.00002354021,0.1490293,0.0001265662,0.00022389,0.8084437,0.0007623964],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003669546,0.7191848,0.2546404,0.002481371,0.001423786,0.01722261,0.0002694817,0.0004245137,0.0006834872],"genre_scores_gemma":[0.0306142,0.9218332,0.02204654,0.002949794,0.005975863,0.001874821,0.005682883,0.001267314,0.007755386],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9605137,"threshold_uncertainty_score":0.9998776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1552148634272685,"score_gpt":0.4508998259764235,"score_spread":0.295684962549155,"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."}}