{"id":"W2068760375","doi":"10.1126/science.1251495","title":"The Neural Code That Makes Us Human","year":2014,"lang":"en","type":"letter","venue":"Science","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Code (set theory); Computer science; Computational biology; Programming language; Biology; Set (abstract data type)","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":[0.0003233696,0.000155684,0.0001234335,0.0003141713,0.0005128021,0.001601323,0.0002958589,0.001386815,0.006285847],"category_scores_gemma":[0.004434157,0.0001359255,0.0001429993,0.0002429095,0.003899291,0.001994711,0.0006383823,0.00123299,0.003518622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003615934,"about_ca_system_score_gemma":0.000306272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001907546,"about_ca_topic_score_gemma":0.00113301,"domain_scores_codex":[0.9996707,0.00006584389,0.00001028168,0.0001009361,0.0001189371,0.00003331655],"domain_scores_gemma":[0.9993792,0.0001617669,0.00006024477,0.0001802097,0.0001718243,0.00004679726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002127324,0.00003775422,0.006539764,0.0002191252,0.0000414464,0.0007762663,0.002716606,0.001238341,0.03833301,0.5976803,0.1011911,0.2510135],"study_design_scores_gemma":[0.00003665292,0.0000739069,0.02449668,0.0002132069,0.00003054206,0.002542586,0.001208985,0.004896343,0.01062503,0.6035755,0.3521859,0.0001147586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.1121314,0.008695891,0.150028,0.09600518,0.007958723,0.0000634016,0.001756491,0.001910715,0.6214502],"genre_scores_gemma":[0.921679,0.001947588,0.02022638,0.01290544,0.002006781,0.00005718147,0.0003884219,0.0003000802,0.04048912],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.006285847,"threshold_uncertainty_score":0.02102828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155849839259558,"score_gpt":0.4118481253527183,"score_spread":0.2962631414267624,"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."}}