{"id":"W4241319863","doi":"10.4000/books.editionsmsh.21722","title":"Préface","year":2003,"lang":"fr","type":"book-chapter","venue":"Éditions de la Maison des sciences de l’homme eBooks","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cambrian College","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":[],"consensus_categories":[],"category_scores_codex":[0.001000047,0.0007371802,0.000528109,0.002068635,0.002924515,0.003605848,0.001169121,0.001288645,0.3443161],"category_scores_gemma":[0.005338729,0.0002714578,0.0004701073,0.001814525,0.0009685972,0.002811851,0.001784977,0.002724911,0.1869439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00268983,"about_ca_system_score_gemma":0.002208226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008119907,"about_ca_topic_score_gemma":0.009198512,"domain_scores_codex":[0.9992458,0.0001163791,0.00004245048,0.0001393287,0.0003826297,0.00007357786],"domain_scores_gemma":[0.9978669,0.0004083262,0.00009034158,0.000247402,0.001159457,0.0002276237],"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":[0.00002095939,0.00001535424,0.0001009617,0.0001134057,0.000001811137,0.00006141408,0.0002898312,0.0000558386,0.0001325413,0.01717555,0.9449435,0.03708884],"study_design_scores_gemma":[0.000001095196,0.000003917726,0.000137783,0.00006650617,4.948681e-7,0.00003460609,0.00008736254,0.000008630921,0.00002970082,0.001438536,0.9981895,0.00000191494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001248436,0.01346374,0.003098179,0.01857962,0.05231394,0.0002311078,0.005248813,0.000587068,0.9052291],"genre_scores_gemma":[0.006003422,0.005405036,0.001304823,0.003903012,0.007587241,0.0001284508,0.003366064,0.0003899037,0.971912],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3443161,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065466137684136,"score_gpt":0.3219977427614277,"score_spread":0.2154511289930141,"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."}}