{"id":"W7128122838","doi":"","title":"A szlenggel kapcsolatos tanulói attitűdök és elvárások az anyanyelvi órán = Student attitudes and expectations of sleng on first-langauage classes","year":2013,"lang":"hu","type":"article","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Swearing, Euphemism, Multilingualism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Ninth; Statistical analysis; School teachers","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":[0.000874172,0.0001838615,0.0002196177,0.000428613,0.001111624,0.002966327,0.0002913031,0.0006578853,0.05070063],"category_scores_gemma":[0.001734926,0.0001149542,0.0002414077,0.0003235725,0.0008146247,0.001257383,0.001567201,0.00121326,0.007169299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158119,"about_ca_system_score_gemma":0.001409121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005433443,"about_ca_topic_score_gemma":0.009905651,"domain_scores_codex":[0.9993392,0.0001187657,0.00002646238,0.00008073544,0.0002565902,0.0001782884],"domain_scores_gemma":[0.9987314,0.0002233071,0.0001988617,0.00005824548,0.0002829626,0.0005051831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007663646,0.001873591,0.4976412,0.0007028397,0.00006069837,0.001102309,0.1708959,0.0003161455,0.01134497,0.02343822,0.04652563,0.2453321],"study_design_scores_gemma":[0.00002579584,0.0004643484,0.7124153,0.0003579173,0.00003685454,0.0004224176,0.1468866,0.0002269048,0.003352828,0.00370342,0.1320305,0.00007712784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9095702,0.0003477632,0.000604302,0.003188514,0.0001212103,0.00004892506,0.0003511311,0.00004365009,0.08572438],"genre_scores_gemma":[0.9269086,0.0003805264,0.0003706002,0.0004714626,0.00003909741,0.00005788298,0.0002888899,0.00003502858,0.07144801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05070063,"threshold_uncertainty_score":0.1696105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500623757007691,"score_gpt":0.296480415229311,"score_spread":0.271474177659234,"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."}}