{"id":"W1508046083","doi":"10.1111/j.1467-9841.2011.00504.x","title":"Properties of the sociolinguistic monitor<sup>1</sup>","year":2011,"lang":"en","type":"article","venue":"Journal of Sociolinguistics","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Logarithm; Standard deviation; Logarithmic scale; Mathematics; Statistics; Variation (astronomy); Psychology; Linguistics; Astrophysics; Physics; Acoustics; Mathematical analysis; Philosophy","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":[0.001372474,0.0001969592,0.0002625893,0.0007296236,0.0002800809,0.0009935219,0.0003287961,0.0003468066,0.001710084],"category_scores_gemma":[0.01533022,0.0003438639,0.0002924418,0.0002872085,0.0009061564,0.0008316407,0.0005819663,0.000473904,0.0002239952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002447223,"about_ca_system_score_gemma":0.0001297992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004661562,"about_ca_topic_score_gemma":0.0002705282,"domain_scores_codex":[0.9991921,0.0002191901,0.00005518777,0.0001898087,0.0003011155,0.000042713],"domain_scores_gemma":[0.9861426,0.009445247,0.00213614,0.001030731,0.0009959401,0.000249321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001270783,0.00007345281,0.07389644,0.0004073742,0.0001086009,0.0004629932,0.003287424,0.003851193,0.8462168,0.004398622,0.0001864506,0.06583983],"study_design_scores_gemma":[0.00003725334,0.001319112,0.8529459,0.00003582885,0.0001312601,0.002521938,0.001021001,0.02009319,0.1156713,0.003893719,0.002228159,0.0001014298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711046,0.0001393592,0.02357646,0.00004196759,0.00001211395,0.00004438986,0.00009334612,0.00008875995,0.004898937],"genre_scores_gemma":[0.9967127,0.0000283835,0.003001238,0.00001112644,0.000008894714,0.00001770978,0.00005610503,0.00002866038,0.0001351902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001710084,"threshold_uncertainty_score":0.007258415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08072876760446357,"score_gpt":0.3028619867312275,"score_spread":0.2221332191267639,"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."}}