{"id":"W17994311","doi":"","title":"Back to Back: The Trajectory of an Old Borrowing","year":2011,"lang":"en","type":"article","venue":"Scholarly Commons (University of Pennsylvania)","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Linguistics; Vernacular; Language contact; Syntax; Adverb; Productivity; Lexical item; Grammar; British English; History; Computer science; Verb; Philosophy; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000499568,0.0001398847,0.00025734,0.0002047084,0.0004532126,0.0001024254,0.0008382671,0.00006781154,0.006898255],"category_scores_gemma":[0.0001103619,0.0001455526,0.0001247687,0.0001088081,0.0002711516,0.00111878,0.0001732333,0.0002534056,0.0004626477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004277774,"about_ca_system_score_gemma":0.00005556524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01217441,"about_ca_topic_score_gemma":0.02752521,"domain_scores_codex":[0.9989218,0.000166038,0.0002001935,0.0002289611,0.0002693028,0.0002137008],"domain_scores_gemma":[0.9985892,0.0001031275,0.0002032422,0.0005950868,0.0003978178,0.0001115628],"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":[0.0002128287,0.0004806897,0.006192944,0.00008721443,0.0001898783,0.00001658782,0.4523794,0.00001171993,0.002624521,0.534621,0.001339477,0.001843742],"study_design_scores_gemma":[0.004446585,0.002571734,0.34138,0.000583949,0.001067284,0.0000182576,0.4963245,0.001078815,0.002932737,0.05649362,0.09111385,0.001988627],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9032937,0.00001838253,0.0005207606,0.00190093,0.0005180712,0.0002675608,0.00008153123,0.00003295085,0.09336616],"genre_scores_gemma":[0.9912434,0.000002553386,0.004990777,0.0000999537,0.0001370363,2.052581e-7,0.00001202035,0.00001848873,0.003495577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4781274,"threshold_uncertainty_score":0.9944036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05840840549307966,"score_gpt":0.2160938066302575,"score_spread":0.1576854011371778,"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."}}