{"id":"W4395461458","doi":"10.1515/9782763734729-001","title":"Préface","year":2017,"lang":"fr","type":"book-chapter","venue":"","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Face (sociological concept); Computer science; Philosophy; Linguistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007924353,0.0008937491,0.0006633148,0.003641895,0.002677925,0.003315661,0.001030697,0.001117717,0.4897646],"category_scores_gemma":[0.004509446,0.0002728821,0.0004938241,0.002404047,0.0007239308,0.002469552,0.001758329,0.002347428,0.3373915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002736768,"about_ca_system_score_gemma":0.002658939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009581122,"about_ca_topic_score_gemma":0.01311485,"domain_scores_codex":[0.9994447,0.00008886649,0.00002245108,0.00008980236,0.0003034095,0.00005077285],"domain_scores_gemma":[0.9984004,0.0002953153,0.00004921532,0.0001626605,0.0009133579,0.0001790174],"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":[0.00001001586,0.00001207818,0.00003098499,0.00006169134,9.849912e-7,0.00001882328,0.00008453592,0.0000444835,0.00006176221,0.01255764,0.9436081,0.04350892],"study_design_scores_gemma":[0.000001268204,0.000002825725,0.00005755879,0.00005907455,5.73989e-7,0.00001245859,0.00004261767,0.0000109332,0.00002785993,0.002067042,0.9977161,0.000001745638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005020604,0.006802235,0.002767128,0.008039888,0.03134956,0.0002182021,0.004117019,0.0007101224,0.9454937],"genre_scores_gemma":[0.001435971,0.001954142,0.0006502778,0.001148416,0.003118714,0.00008721735,0.002000346,0.0004088754,0.9891962],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5102354,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102950923218346,"score_gpt":0.2904400650170139,"score_spread":0.1874891417986679,"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."}}