{"id":"W7099376077","doi":"","title":"l’alchimie du dialogue, de la délibération, et des décisions","year":2016,"lang":"en","type":"article","venue":"","topic":"Digitalization, Law, and Regulation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discernment; Conversation; Conversation analysis; Qualitative research; Ethical issues; Face (sociological concept); Ethical decision","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":[0.02549353,0.0003823156,0.000372836,0.002007865,0.01076732,0.01222004,0.001385253,0.003579093,0.003134205],"category_scores_gemma":[0.03308798,0.0003993979,0.0003969595,0.001664761,0.04614601,0.008022514,0.009224471,0.004994023,0.0005750092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01106104,"about_ca_system_score_gemma":0.01893981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03791133,"about_ca_topic_score_gemma":0.03607038,"domain_scores_codex":[0.943531,0.04682786,0.0009010523,0.001626949,0.005022025,0.002091021],"domain_scores_gemma":[0.9562298,0.0320029,0.004439177,0.002400292,0.002357721,0.002570145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004049011,0.00005806848,0.004185015,0.0001829001,0.00001749586,0.0007945172,0.7480771,0.0003073082,0.001099552,0.2014933,0.002660926,0.04108335],"study_design_scores_gemma":[0.00002461143,0.00006915452,0.004838856,0.0007368067,0.00001252076,0.001334531,0.6169955,0.0008434384,0.001322077,0.07250338,0.3012375,0.00008167105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5502569,0.008020315,0.0642648,0.08337328,0.0004116223,0.0002865787,0.00008934932,0.0001833011,0.2931139],"genre_scores_gemma":[0.98274,0.001209037,0.00535872,0.001886672,0.00005072131,0.00007283919,0.00001290658,0.00002230726,0.008646783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03791133,"threshold_uncertainty_score":0.1348243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240013246786958,"score_gpt":0.3313689920384655,"score_spread":0.3089688595705959,"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."}}