{"id":"W3175775710","doi":"10.1515/css-2019-0024","title":"Meaning Generation","year":2019,"lang":"en","type":"article","venue":"Chinese Semiotic Studies","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Meaning (existential); Semiotics; Sign (mathematics); Linguistics; Interpretation (philosophy); Reading (process); Encoding (memory); Agency (philosophy); Code (set theory); Original meaning; Epistemology; Sociology; Computer science; Cognitive science; Psychology; Philosophy; Artificial intelligence; Mathematics","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":[0.00364191,0.0005766783,0.0003509732,0.001888032,0.00212108,0.005317002,0.001445592,0.001241985,0.01636074],"category_scores_gemma":[0.01043629,0.0002406041,0.0006175308,0.001615955,0.01117156,0.007541561,0.005427646,0.001999438,0.002497368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002267922,"about_ca_system_score_gemma":0.002221857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009991418,"about_ca_topic_score_gemma":0.0004596651,"domain_scores_codex":[0.995905,0.001962345,0.0002255823,0.0006263716,0.0009624977,0.0003181612],"domain_scores_gemma":[0.99543,0.00173632,0.0002833304,0.001286313,0.001003525,0.0002604277],"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":[0.00002744292,0.00001225759,0.0006374957,0.0001270817,0.000008802241,0.0002142568,0.009991293,0.0002858261,0.001341374,0.9404194,0.004803755,0.04213109],"study_design_scores_gemma":[0.00001771671,0.00003982699,0.0009980022,0.0002159262,0.00001612874,0.000463928,0.005170802,0.001947272,0.002142145,0.8063088,0.1826457,0.00003371886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06280643,0.003851615,0.2949405,0.01502452,0.0017899,0.0005067356,0.0006376906,0.0009133716,0.6195292],"genre_scores_gemma":[0.8920063,0.001328536,0.0568427,0.001333212,0.0003596345,0.0003002021,0.0007074107,0.0003926971,0.04672927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01636074,"threshold_uncertainty_score":0.05473208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08348289817335955,"score_gpt":0.3284656034121141,"score_spread":0.2449827052387546,"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."}}