{"id":"W4232239050","doi":"10.4000/books.momeditions.987","title":"Préface","year":2016,"lang":"fr","type":"book-chapter","venue":"","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Face (sociological concept); Computer science; Linguistics; Philosophy","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":[0.0008186903,0.0006682262,0.0005267365,0.003080406,0.002978919,0.003895379,0.001023991,0.001068596,0.3268795],"category_scores_gemma":[0.005138221,0.0002728876,0.0003878794,0.002846519,0.001028519,0.003016578,0.001672281,0.002226573,0.1624966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00266415,"about_ca_system_score_gemma":0.002149781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008858702,"about_ca_topic_score_gemma":0.01090373,"domain_scores_codex":[0.9993555,0.0001031891,0.00004164737,0.0001309308,0.000313174,0.00005550433],"domain_scores_gemma":[0.9982166,0.0004097953,0.00007848326,0.0002150863,0.0009050412,0.000174876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002553427,0.00001339133,0.0001269362,0.0001823969,0.000002501444,0.00006614698,0.0005855284,0.00005715549,0.0001584852,0.02753502,0.9190444,0.05220253],"study_design_scores_gemma":[0.000001114196,0.000002977601,0.0001680401,0.000104574,6.121605e-7,0.00003385469,0.0001084872,0.000007974463,0.00003143451,0.001498463,0.9980405,0.000001974428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001419274,0.01224583,0.002959232,0.01038486,0.03005744,0.0001766814,0.008128596,0.0005514303,0.9340767],"genre_scores_gemma":[0.009014552,0.007177921,0.001916741,0.002631795,0.007320766,0.0001730932,0.00707259,0.0007071471,0.9639854],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3268795,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06687386269146803,"score_gpt":0.2612884025068861,"score_spread":0.194414539815418,"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."}}