{"id":"W2106600304","doi":"10.1177/0075424214539702","title":"Functional Partitioning and Possible Limits on Variability","year":2014,"lang":"en","type":"article","venue":"Journal of English Linguistics","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Variation (astronomy); Variety (cybernetics); Linguistics; Vernacular; Varieties of English; Adjective; Alternation (linguistics); History; Computer science; Artificial intelligence; Noun; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007265153,0.000418995,0.0009052757,0.002756508,0.002430069,0.005092756,0.001784283,0.000917702,0.005367508],"category_scores_gemma":[0.03000626,0.0007990588,0.0005779609,0.002205223,0.01151143,0.006999707,0.005687959,0.001524738,0.0007171675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164939,"about_ca_system_score_gemma":0.0008544579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002812688,"about_ca_topic_score_gemma":0.00318777,"domain_scores_codex":[0.9850652,0.007437632,0.0009131804,0.004098314,0.001648284,0.0008375503],"domain_scores_gemma":[0.9763379,0.01410708,0.001130662,0.006255388,0.001751837,0.0004170624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003843285,0.00005865193,0.03966872,0.0005947103,0.0001642821,0.0006926844,0.06022688,0.001737396,0.02651544,0.7221313,0.001590503,0.1462352],"study_design_scores_gemma":[0.00007453479,0.000204424,0.1218915,0.0003944818,0.0001161907,0.002470433,0.02633962,0.01091068,0.008649049,0.778095,0.05066032,0.0001937579],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7149261,0.002015613,0.1510662,0.002468045,0.00007615088,0.0001377882,0.0006413216,0.0005103665,0.1281585],"genre_scores_gemma":[0.9873532,0.0001244368,0.01086299,0.0001205016,0.00002756862,0.000096306,0.0002698906,0.000197369,0.0009477825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007265153,"threshold_uncertainty_score":0.03842223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894154534877959,"score_gpt":0.2933514413132962,"score_spread":0.2644098959645166,"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."}}