{"id":"W4391746324","doi":"10.4000/brussels.7283","title":"Faire des économies avec la remise en logement ? Une comparaison des coûts avec ceux du sans-chez-soirisme","year":2024,"lang":"fr","type":"article","venue":"Brussels Studies","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.002327397,0.0002491073,0.000282571,0.001781303,0.003427607,0.007456908,0.0008376285,0.0008883723,0.01216658],"category_scores_gemma":[0.006240377,0.0002157099,0.0003152478,0.002533943,0.006358152,0.005189728,0.003311891,0.000865891,0.0007785585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008215076,"about_ca_system_score_gemma":0.006995503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1656146,"about_ca_topic_score_gemma":0.2710576,"domain_scores_codex":[0.9970015,0.0011262,0.00006050787,0.0002668923,0.0004034502,0.001141407],"domain_scores_gemma":[0.9972786,0.0005113675,0.0008333611,0.0002129689,0.0004652441,0.0006984334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002518449,0.0002728986,0.2179741,0.0003034644,0.0001208562,0.0009415128,0.1781002,0.00164828,0.001402244,0.4707808,0.008785748,0.1194181],"study_design_scores_gemma":[0.00003384684,0.0001453509,0.5204772,0.0004588713,0.00006051682,0.0002873787,0.2017693,0.0006894852,0.0005366274,0.01991257,0.2555771,0.00005170822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8530777,0.002039698,0.001066588,0.0108906,0.00004136125,0.00004739613,0.0001788575,0.00002837909,0.1326294],"genre_scores_gemma":[0.9889815,0.0006264519,0.000298227,0.0001414672,0.00001498122,0.00001077823,0.00003210036,0.00001145962,0.009883109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1656146,"threshold_uncertainty_score":0.3293012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07763718155965416,"score_gpt":0.320474347575917,"score_spread":0.2428371660162629,"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."}}