{"id":"W2183196073","doi":"10.1001/archfaci.2010.71","title":"A New Model for Facial Nerve Research","year":2010,"lang":"en","type":"article","venue":"Archives of Facial Plastic Surgery","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Facial nerve; Medicine; Reinnervation; Synkinesis; Anatomy; Regeneration (biology); Denervation; Confocal microscopy; Facial muscles; Pathology; Confocal; Nerve injury; Neuroscience; Cell biology; Surgery; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003483265,0.0001264354,0.0002278908,0.0003228351,0.0002851004,0.00004122258,0.0002381371,0.00007827781,0.00003310065],"category_scores_gemma":[0.006909091,0.0001124425,0.0001925895,0.0001988064,0.00034294,0.000158892,0.0000763833,0.000312561,0.00001857317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004054883,"about_ca_system_score_gemma":0.0003906035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003281207,"about_ca_topic_score_gemma":0.00007148124,"domain_scores_codex":[0.9984306,0.0001123859,0.0003288923,0.0003618702,0.0003582429,0.0004079755],"domain_scores_gemma":[0.9880137,0.01149112,0.00008795803,0.0002097853,0.0000372918,0.0001601334],"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":[0.0003831748,0.00005751938,0.0002668293,0.00002105443,0.000003733137,0.000003953723,0.0003274817,0.000828938,0.9464149,0.00851009,0.002070953,0.04111129],"study_design_scores_gemma":[0.000319069,0.00008367372,0.0007682147,0.00002429403,0.000008523352,0.000006054798,0.00001497324,0.1113469,0.8616996,0.02294839,0.002584701,0.000195608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435305,0.000006175725,0.05279054,0.0001757224,0.002102184,0.000244012,0.0001441432,0.00003896721,0.000967756],"genre_scores_gemma":[0.9960302,0.000006535583,0.001987304,0.00002673634,0.0005780957,0.00002819389,0.00001203877,0.00001739867,0.001313524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1105179,"threshold_uncertainty_score":0.8271327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1161407249945596,"score_gpt":0.3420623203362919,"score_spread":0.2259215953417323,"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."}}