{"id":"W1572916741","doi":"10.3968/4305","title":"The Sociolinguistics of Persian SMS: Ways to Identify Age Limits","year":2014,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociolinguistics; Interpersonal communication; Style (visual arts); Persian; Psychology; Linguistics; Function (biology); Social group; Computer science; Social psychology; Sociology; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002291028,0.0003130912,0.0002366731,0.003124367,0.0009583032,0.001814653,0.000466586,0.0004391023,0.003918332],"category_scores_gemma":[0.01323537,0.0001873262,0.000155141,0.001700188,0.001532342,0.002669921,0.001508612,0.0005041824,0.000616119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007237811,"about_ca_system_score_gemma":0.0006050764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004176078,"about_ca_topic_score_gemma":0.005239271,"domain_scores_codex":[0.998459,0.000851012,0.0001441762,0.0002149298,0.0002618814,0.0000690291],"domain_scores_gemma":[0.9920698,0.004631285,0.001172466,0.0006039945,0.001245414,0.0002770522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006093081,0.0001571909,0.3316426,0.0005841431,0.00004270632,0.001286112,0.2930311,0.0005395999,0.009618695,0.05307152,0.002819421,0.3065975],"study_design_scores_gemma":[0.00002971041,0.0005109695,0.5912032,0.0005425249,0.00006945312,0.002150452,0.2742544,0.005186787,0.00551453,0.04040473,0.08003087,0.000102358],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252832,0.001677352,0.02583024,0.000998246,0.00008858834,0.000136991,0.000850142,0.0001096102,0.04502569],"genre_scores_gemma":[0.9853122,0.0004352468,0.01148307,0.00009830893,0.0000264712,0.000197392,0.0001927509,0.00002412502,0.002230553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004176078,"threshold_uncertainty_score":0.01310807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0374567159842592,"score_gpt":0.3520212768749038,"score_spread":0.3145645608906446,"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."}}