{"id":"W4200349276","doi":"10.3917/rfas.213.0035","title":"Inégalités sociales et vie augmentée","year":2021,"lang":"fr","type":"article","venue":"Revue française des affaires sociales","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Labour, Employment and Social Solidarity","funders":"","keywords":"Augment; Philosophy; Sociology; 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":[0.003373695,0.0006774014,0.0009955975,0.001806415,0.004451626,0.006602098,0.0005423207,0.002951297,0.06419074],"category_scores_gemma":[0.007411667,0.0002114325,0.0007290999,0.002107915,0.004018779,0.00499676,0.002739674,0.004599938,0.004001686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00763888,"about_ca_system_score_gemma":0.003324775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317998,"about_ca_topic_score_gemma":0.02300075,"domain_scores_codex":[0.9974635,0.001211114,0.00008651792,0.000405133,0.0005509112,0.0002828444],"domain_scores_gemma":[0.9951781,0.002755819,0.0003319744,0.000377105,0.00103616,0.0003208921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001658569,0.0001022311,0.002412155,0.0004657439,0.00004182682,0.0002202416,0.004621695,0.001297022,0.001125494,0.7341426,0.09090949,0.1644956],"study_design_scores_gemma":[0.00001492876,0.00004233836,0.00579928,0.0003822144,0.00001236222,0.0002494874,0.002070101,0.0005300667,0.000195872,0.0518311,0.9388466,0.00002559985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05197112,0.1081824,0.008074827,0.1892101,0.01234618,0.00003959136,0.001514432,0.000270793,0.6283905],"genre_scores_gemma":[0.4733097,0.06509714,0.003617029,0.006900763,0.0140955,0.0001498388,0.0008344291,0.0002170014,0.4357786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06419074,"threshold_uncertainty_score":0.2147394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1423308239066012,"score_gpt":0.3531986421943235,"score_spread":0.2108678182877223,"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."}}