{"id":"W2090152286","doi":"10.1016/j.jneumeth.2015.03.038","title":"Surgical preparation of mice for recording cardiorespiratory parameters in vivo","year":2015,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neuroscience of respiration and sleep","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Division of Arctic Sciences; National Health and Medical Research Council; Canadian Institutes of Health Research; Alberta Innovates; Heart Research Institute; Hjerteforeningen","keywords":"Cardiorespiratory fitness; In vivo; Splanchnic nerves; Heart rate; Splanchnic; Anesthesia; Medicine; Blood pressure; Biology; Neuroscience; Physiology; Hemodynamics; Internal medicine; Stimulation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001303648,0.002535976,0.001066164,0.002025018,0.001703096,0.001047403,0.00174083,0.002524652,0.01255138],"category_scores_gemma":[0.0007823462,0.00146279,0.001715039,0.000609695,0.001727583,0.001315362,0.000956371,0.006390664,0.005368039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009234322,"about_ca_system_score_gemma":0.001459304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721914,"about_ca_topic_score_gemma":0.007542849,"domain_scores_codex":[0.9990911,0.00007217901,0.0001179941,0.0003577031,0.0001703124,0.000190641],"domain_scores_gemma":[0.998472,0.000172766,0.0003625862,0.0003452791,0.0002044369,0.000442836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008775551,0.0003769229,0.0005668412,0.0001839705,0.00004446867,0.0002570084,0.0002110279,0.0002703539,0.9877728,0.001897276,0.001855268,0.005686456],"study_design_scores_gemma":[0.0004761886,0.001673805,0.009607626,0.0002725305,0.0002164069,0.001016459,0.0003107772,0.002945427,0.9365147,0.001486833,0.04538774,0.0000916481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5481007,0.006840612,0.341935,0.005753897,0.004883541,0.009959104,0.04626289,0.008381369,0.02788284],"genre_scores_gemma":[0.4111727,0.008204283,0.4486315,0.004145931,0.0007004517,0.019727,0.02137363,0.003198275,0.08284622],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01255138,"threshold_uncertainty_score":0.04198861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2031158735469077,"score_gpt":0.4563820769962831,"score_spread":0.2532662034493754,"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."}}