{"id":"W4237318719","doi":"10.31234/osf.io/y9m2k","title":"Codes, communication and cognition","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"DECIPHER; Plea; Metaphor; Computer science; Coding (social sciences); Neural coding; Cognitive science; Cognition; Turing; Symbol (formal); Artificial intelligence; Communication; Psychology; Linguistics; Sociology; Philosophy; Programming language; Law; Biology; Neuroscience","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":[0.0001229624,0.0001332158,0.0001441981,0.00006928812,0.00009513138,0.0001131681,0.0001745954,0.0001747793,0.0001249],"category_scores_gemma":[0.0001426896,0.0001274099,0.00003404162,0.00004105287,0.00008557783,0.00009617524,0.0005031389,0.0004023729,0.0002703004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000168021,"about_ca_system_score_gemma":0.00003046452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003031653,"about_ca_topic_score_gemma":0.00001209056,"domain_scores_codex":[0.9990777,0.00013061,0.0001511831,0.0003744354,0.0001451313,0.0001209192],"domain_scores_gemma":[0.9992242,0.0001807379,0.000103162,0.0004049605,0.00004646188,0.00004046624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001008192,0.0002433732,0.0001585007,0.0006179578,0.00002366261,0.000007958539,0.0006604087,0.0001435385,0.02903107,0.9146252,0.006910003,0.04747752],"study_design_scores_gemma":[0.0004153037,0.00003493785,0.000174579,0.0002463927,0.00005483111,0.00002237772,0.00008170496,0.004927848,0.04993066,0.9418048,0.001949824,0.000356717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01380884,0.0002010225,0.0007826105,0.0007432628,0.0002623412,0.0004832314,0.00007200395,0.0002147707,0.9834319],"genre_scores_gemma":[0.9950063,0.001902133,0.0005300112,0.001271002,0.0000335049,0.00003557805,0.0001555212,0.00001421038,0.001051747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9823802,"threshold_uncertainty_score":0.5195624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05647503866224877,"score_gpt":0.2953686388504562,"score_spread":0.2388936001882074,"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."}}