{"id":"W4386878553","doi":"10.1152/jn.00133.2023","title":"High-throughput gait acquisition system for freely moving mice","year":2023,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Pipeline (software); Gait; Task (project management); Suite; Computer science; Throughput; Data acquisition; Gait analysis; Real-time computing; Physical medicine and rehabilitation; Engineering; Medicine","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":[0.001168455,0.001247541,0.001324216,0.001544508,0.000761799,0.001014912,0.001792571,0.0009438058,0.03003653],"category_scores_gemma":[0.0007710584,0.0007938255,0.0006840302,0.0008096216,0.0002930293,0.0008290531,0.001164248,0.002181059,0.02011434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003899736,"about_ca_system_score_gemma":0.0008025515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179045,"about_ca_topic_score_gemma":0.004483348,"domain_scores_codex":[0.9990996,0.00007025736,0.00007010335,0.000295742,0.0003899695,0.00007432774],"domain_scores_gemma":[0.9994404,0.00007170386,0.00008032443,0.0001276634,0.0001828656,0.00009708335],"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":[0.000785555,0.0002580243,0.00367506,0.0005698766,0.0001959736,0.0001591981,0.0001591155,0.0007279632,0.843628,0.001493427,0.0772428,0.07110507],"study_design_scores_gemma":[0.0004917778,0.001367321,0.07860377,0.0003549804,0.0003392811,0.001867302,0.0001077873,0.04538104,0.5540895,0.004124623,0.3127474,0.0005252443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04400231,0.001123774,0.7423059,0.0006400836,0.0005055509,0.002055714,0.1133961,0.08686709,0.009103485],"genre_scores_gemma":[0.06816461,0.00164126,0.7813781,0.001301631,0.0002601006,0.01673692,0.09483366,0.007793404,0.0278902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03003653,"threshold_uncertainty_score":0.1004822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593610147495879,"score_gpt":0.2303532812543821,"score_spread":0.2044171797794233,"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."}}