{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005609347,0.0008307021,0.0006277573,0.001962706,0.005307783,0.01684854,0.001383912,0.00456298,0.02611063],"category_scores_gemma":[0.0109195,0.0003036512,0.0006075363,0.00166353,0.02942862,0.01462327,0.006398647,0.004410069,0.005432364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004265907,"about_ca_system_score_gemma":0.003335089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002674261,"about_ca_topic_score_gemma":0.001587935,"domain_scores_codex":[0.9907458,0.006633665,0.0002928709,0.0006959251,0.001075077,0.0005565601],"domain_scores_gemma":[0.9956012,0.002388599,0.0002881361,0.0008838754,0.0004923795,0.0003457729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001435799,0.000007066019,0.00004773766,0.00006744896,0.000003731042,0.00005366502,0.01002357,0.00008445809,0.0000942909,0.9626772,0.01499038,0.01193599],"study_design_scores_gemma":[0.000008925303,0.00002000614,0.0001200871,0.0003880291,0.000007339794,0.0003223563,0.008314048,0.0002567305,0.0002456322,0.5010982,0.489203,0.00001562867],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003745526,0.01932925,0.04268568,0.0447146,0.001698538,0.00006394165,0.0001511427,0.0002730427,0.8873384],"genre_scores_gemma":[0.7134238,0.01479099,0.01833732,0.008515789,0.002435994,0.0002910623,0.0003303365,0.0005771036,0.2412975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02611063,"threshold_uncertainty_score":0.0873487,"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."}}