{"id":"W2006704818","doi":"10.1016/j.conb.2011.11.013","title":"Sniffing and whisking in rodents","year":2011,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neuroscience of respiration and sleep","field":"Neuroscience","cited_by":186,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Sniffing; Whisking in animals; Anticipation (artificial intelligence); Psychology; Neuroscience; Communication; Rhythm; Cognitive psychology; Sensory system; Medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002577679,0.000365027,0.0008861918,0.0008488067,0.00007057904,0.0000547622,0.0005533837,0.0002019541,0.0000310222],"category_scores_gemma":[0.0006585927,0.0003189748,0.0001123142,0.0007016347,0.0002123372,0.0001675875,0.0003308316,0.0008388371,0.00006439897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004569035,"about_ca_system_score_gemma":0.00009006751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003825366,"about_ca_topic_score_gemma":0.000003528407,"domain_scores_codex":[0.9967509,0.0008311419,0.0007439016,0.001100209,0.00009939882,0.0004744714],"domain_scores_gemma":[0.9989095,0.0003507779,0.0003402282,0.0003042448,0.000009531365,0.00008566471],"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":[0.00000437656,0.0001020689,0.0002214187,0.00245465,5.023491e-7,0.000006107451,0.0000575925,0.00000133499,0.00006414102,0.002196491,0.00009064921,0.9948007],"study_design_scores_gemma":[0.0002321316,0.00006400835,0.0001086218,0.003997277,0.000004923355,0.00007280637,0.00000154622,0.00002471133,0.00001197227,0.00008453604,0.9951184,0.0002791109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004012912,0.9867156,0.00001016272,0.00001842286,0.01179696,0.0006789324,0.00001423033,0.00004410835,0.0003203438],"genre_scores_gemma":[0.0002874201,0.999372,0.000005325929,0.0000798184,0.0001192118,0.00007743686,0.000008634907,0.00002788132,0.00002225666],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9950277,"threshold_uncertainty_score":0.9999262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2947648206177514,"score_gpt":0.4282465005854068,"score_spread":0.1334816799676554,"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."}}