{"id":"W2334250980","doi":"10.1515/flih.2012.007","title":"Investigating the emergence of the definite article in Old English: About categorization, gradualness and constructions","year":2012,"lang":"en","type":"article","venue":"Folia Linguistica Historica","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grammaticalization; Linguistics; Categorization; Grammar; History; Part of speech; Demonstrative; Parsing; Computer science; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001891897,0.0001497027,0.0002583801,0.001671526,0.001422959,0.002576839,0.0004288905,0.0004312794,0.001212373],"category_scores_gemma":[0.003703327,0.0002448782,0.0001941865,0.001269162,0.008597219,0.004794537,0.001546196,0.001079217,0.0001165811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384682,"about_ca_system_score_gemma":0.0005653261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002586869,"about_ca_topic_score_gemma":0.004673546,"domain_scores_codex":[0.9992084,0.0003214582,0.00005537536,0.0001939152,0.0001358567,0.00008492156],"domain_scores_gemma":[0.9957451,0.002671552,0.0005132653,0.0004196591,0.0004682573,0.0001821283],"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":[0.0001827621,0.00006802283,0.08080018,0.0003554484,0.00003815028,0.002537542,0.2632723,0.0004387547,0.02250826,0.5673762,0.0006108079,0.06181162],"study_design_scores_gemma":[0.00003572063,0.0003436188,0.3813297,0.0003807408,0.0001025411,0.006755492,0.2000201,0.004507036,0.01699163,0.297722,0.09163053,0.0001809541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532425,0.001375125,0.01438626,0.0006622457,0.0000341261,0.00002496895,0.00005884389,0.00002862513,0.03018718],"genre_scores_gemma":[0.9979479,0.0001458613,0.001129569,0.00002073891,0.00001224898,0.000005540837,0.00002560328,0.00001536663,0.0006972547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002586869,"threshold_uncertainty_score":0.01004654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574120823419973,"score_gpt":0.2793581470413864,"score_spread":0.2536169388071867,"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."}}