{"id":"W4312550455","doi":"10.4000/books.puam.6396","title":"Préface","year":2022,"lang":"fr","type":"book-chapter","venue":"Presses universitaires d’Aix-Marseille eBooks","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Computer science; Philosophy; Linguistics","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":[0.001263314,0.0008105286,0.0006111385,0.00293663,0.002767485,0.004394535,0.001357754,0.001557977,0.4411246],"category_scores_gemma":[0.006445812,0.0003351893,0.0005589395,0.002484568,0.0008756187,0.003240984,0.002135309,0.002809934,0.2595511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002730146,"about_ca_system_score_gemma":0.002938631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007039356,"about_ca_topic_score_gemma":0.008445511,"domain_scores_codex":[0.9990269,0.0001267937,0.00006260985,0.0001643316,0.0005218237,0.00009752069],"domain_scores_gemma":[0.9971055,0.0004672554,0.0001135845,0.0003342018,0.001590686,0.0003886907],"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":[0.00001761044,0.00001265383,0.00008709094,0.0001270879,0.000001744842,0.00004709931,0.0001839418,0.00004481263,0.0001025906,0.01157337,0.9461807,0.04162133],"study_design_scores_gemma":[0.000001172811,0.000004334268,0.0001258717,0.00007418107,5.223134e-7,0.00002752695,0.00005556388,0.000007058188,0.00002525064,0.0009907193,0.998686,0.000001855301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001016443,0.01242357,0.002577932,0.01633708,0.05535193,0.0002501606,0.007956864,0.0007879579,0.903298],"genre_scores_gemma":[0.004163268,0.005291286,0.001350295,0.002781334,0.007796089,0.0001379047,0.004759955,0.0004716764,0.9732482],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4411246,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320448692210689,"score_gpt":0.2187547773995848,"score_spread":0.1867099081785159,"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."}}