{"id":"W1967148994","doi":"10.1075/ld.2.1.00int","title":"Dialogue and representation","year":2012,"lang":"en","type":"article","venue":"Language and Dialogue","topic":"Counseling, Therapy, and Family Dynamics","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Representation (politics); Computer science; Artificial intelligence; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0001757874,0.00009700277,0.0001244317,0.00004936228,0.00006517447,0.0000253896,0.00004333672,0.00009564769,0.0001323954],"category_scores_gemma":[0.00002872553,0.00008744944,0.00002565073,0.00006707251,0.00005934191,0.0001007956,0.00002136318,0.00008638064,0.00005547115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005845985,"about_ca_system_score_gemma":0.000003831443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118325,"about_ca_topic_score_gemma":0.0002145164,"domain_scores_codex":[0.9993494,0.00006665687,0.0001145841,0.0001693207,0.00006130152,0.0002387151],"domain_scores_gemma":[0.9995402,0.0001168528,0.00003927022,0.0001896793,0.00001267332,0.0001013267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000174201,0.000225184,0.2549644,0.00002592909,0.0001085934,0.00005670443,0.6012608,0.000001049938,0.003643024,0.01688986,0.006115797,0.1165344],"study_design_scores_gemma":[0.003018663,0.0001963574,0.8727363,0.00002227683,0.0001282144,0.0001618614,0.1003509,0.00006496516,0.00004585273,0.0028192,0.01975662,0.000698687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985602,0.006848793,0.0007262072,0.00005809917,0.0007138966,0.0001142457,0.00002654529,0.00005531963,0.005854912],"genre_scores_gemma":[0.9970425,0.0004162606,0.0001889322,0.0007265664,0.0006392066,0.00001641789,0.0001024236,0.00001485753,0.0008527774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6177719,"threshold_uncertainty_score":0.3566085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050651868297047,"score_gpt":0.3109222118919126,"score_spread":0.2904156932089421,"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."}}