{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001997692,0.0007098643,0.001020142,0.0007031494,0.0005300831,0.0007578846,0.0005209791,0.0007042378,0.001857236],"category_scores_gemma":[0.000871577,0.0002342792,0.0005517332,0.0002761769,0.0004183709,0.0006227727,0.0004846897,0.0009292671,0.0006493946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004969915,"about_ca_system_score_gemma":0.001018218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009428787,"about_ca_topic_score_gemma":0.002344244,"domain_scores_codex":[0.9994093,0.0001780023,0.00009463894,0.00009969227,0.0001272262,0.00009117931],"domain_scores_gemma":[0.9995311,0.00009965271,0.00012781,0.00004851681,0.0001189037,0.00007391139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002858741,0.001259876,0.003384031,0.004883197,0.0002439032,0.000752887,0.000185055,0.0006921059,0.928046,0.002346659,0.003517686,0.05182987],"study_design_scores_gemma":[0.001227657,0.05443295,0.02893801,0.004005384,0.002350144,0.005882522,0.0006581144,0.003376077,0.7416948,0.002723957,0.1544988,0.0002115508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6518028,0.1983513,0.09147984,0.003938691,0.002490867,0.0169268,0.003864039,0.0009513839,0.03019434],"genre_scores_gemma":[0.736193,0.1623213,0.06827227,0.002237585,0.0005855249,0.01746832,0.004451744,0.000151189,0.008319043],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001997692,"threshold_uncertainty_score":0.01056492,"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."}}