{"id":"W2991039843","doi":"10.1075/ahs.10","title":"Keeping in Touch","year":2019,"lang":"en","type":"book","venue":"Advances in historical sociolinguistics","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001092959,0.0007217395,0.0007193304,0.001678629,0.003441613,0.01123692,0.001443089,0.002553899,0.1205038],"category_scores_gemma":[0.004575779,0.0003426185,0.0005998599,0.002014337,0.003725402,0.0103973,0.004770935,0.005612819,0.1072206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769744,"about_ca_system_score_gemma":0.002484652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001916271,"about_ca_topic_score_gemma":0.0063242,"domain_scores_codex":[0.9984688,0.0002923603,0.00007205293,0.0002824154,0.0007691341,0.0001152707],"domain_scores_gemma":[0.9979248,0.0005979165,0.00008366584,0.0003772159,0.0006734774,0.0003429789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002537749,0.00003111261,0.0002722201,0.0002924997,0.000009013448,0.0001105367,0.002515614,0.00008411466,0.0006586023,0.08806848,0.7127632,0.1951692],"study_design_scores_gemma":[6.03458e-7,0.000003381029,0.00006454592,0.00007335527,0.000001275287,0.00007308523,0.0002226434,0.000009024155,0.00005051712,0.004271546,0.9952276,0.000002337309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001660618,0.03768571,0.007657393,0.0571208,0.02603597,0.00005734398,0.0003812252,0.0008282183,0.8685728],"genre_scores_gemma":[0.006939954,0.0184508,0.004455876,0.01565908,0.00795495,0.00003752159,0.0003245558,0.0007498796,0.9454274],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1205038,"threshold_uncertainty_score":0.4031253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113628056745455,"score_gpt":0.3771019742061559,"score_spread":0.3459656936387014,"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."}}