{"id":"W2030832551","doi":"10.1017/s0140525x05310089","title":"language and the game of life","year":2005,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Coining (mint); Language-game; Computer science; Linguistics; Cognitive science; Psychology; Artificial intelligence; Communication; History; Philosophy; Archaeology","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":[0.0007000897,0.00003641041,0.00006968555,0.0000149618,0.0003257852,0.00005850419,0.0001088259,0.00002488782,0.00008011636],"category_scores_gemma":[0.00008885978,0.00001809551,0.00001922885,0.0001475668,0.001766699,0.0002164552,0.00002886088,0.00003148593,0.000002375468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004408197,"about_ca_system_score_gemma":0.00003608529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004101621,"about_ca_topic_score_gemma":0.00284899,"domain_scores_codex":[0.9994441,0.00007829333,0.00007808478,0.00009377227,0.0001926059,0.0001131429],"domain_scores_gemma":[0.9997972,0.00006269546,0.00003841169,0.00003471301,0.00001716688,0.00004984189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005011147,0.000100563,0.02713883,0.000009741075,0.000005533663,0.000002440839,0.4128645,0.000003495786,0.006201089,0.1307815,0.002838512,0.4200036],"study_design_scores_gemma":[0.004111212,0.0004663556,0.2008243,0.00008010572,0.0001063662,0.00001718879,0.692549,0.0004498047,0.001555058,0.005876791,0.09322452,0.0007392779],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844624,0.00185593,0.000002511398,0.01045822,0.00002843699,0.00007962664,0.000001598704,0.00001232323,0.003098944],"genre_scores_gemma":[0.9981247,0.00006989013,0.0001075563,0.0004340656,0.000106149,0.000002820455,3.019609e-7,7.615502e-7,0.001153761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4192643,"threshold_uncertainty_score":0.6509475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0344729246431844,"score_gpt":0.3470117347955952,"score_spread":0.3125388101524108,"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."}}