{"id":"W1993626314","doi":"10.1515/text.2011.023","title":"Crosstalk 2.0: asylum and communicative breakdowns","year":2011,"lang":"en","type":"article","venue":"Text and Talk","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crosstalk; Linguistics; Pragmatics; Sociology; Discourse analysis; Computer science; Political science; Physics; Philosophy; Optics","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":[0.01098361,0.0006247724,0.0006747613,0.007128043,0.01164219,0.0121088,0.001231642,0.001679345,0.01313888],"category_scores_gemma":[0.03831737,0.0004054545,0.0003070151,0.006694046,0.01180071,0.005869605,0.01398092,0.003283119,0.0009390666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004880396,"about_ca_system_score_gemma":0.004783433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007946718,"about_ca_topic_score_gemma":0.008080465,"domain_scores_codex":[0.9812787,0.01228034,0.0008474297,0.0009897881,0.002183025,0.002420794],"domain_scores_gemma":[0.9376981,0.04828748,0.0068441,0.002187487,0.002487341,0.002495493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001804922,0.00005277352,0.01296903,0.0002952791,0.00001268136,0.00116155,0.914535,0.0001492152,0.001690412,0.04727111,0.001727924,0.01995465],"study_design_scores_gemma":[0.00001032722,0.00005018108,0.016097,0.0003855898,0.00001954393,0.0007144458,0.9511662,0.0002375389,0.0010725,0.005245196,0.0249558,0.00004581387],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8782086,0.001025263,0.005272118,0.004247417,0.0001699634,0.00009914707,0.0003888799,0.0001262328,0.1104625],"genre_scores_gemma":[0.9958474,0.0002096376,0.0004800931,0.0001444177,0.00003055065,0.00006129985,0.00007895249,0.00003505273,0.00311271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01313888,"threshold_uncertainty_score":0.05808753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657204061252114,"score_gpt":0.2924892132909716,"score_spread":0.2559171726784505,"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."}}