{"id":"W2114676016","doi":"10.7202/800655ar","title":"Le secteur résidentiel (bloc 3) de CANDIDE","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Parametric statistics; Value (mathematics); Econometrics; Macro; Medium term; Term (time); Economics; Macroeconomics; Mathematics; Computer science; Statistics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0006628367,0.0007375986,0.0004454343,0.00153128,0.001798449,0.002981204,0.0006206693,0.0009514921,0.03618468],"category_scores_gemma":[0.001184952,0.0002667913,0.00079655,0.002863053,0.0005963533,0.000945401,0.001157701,0.002235823,0.007916723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004135201,"about_ca_system_score_gemma":0.00386055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1700631,"about_ca_topic_score_gemma":0.1180583,"domain_scores_codex":[0.9991715,0.0001835988,0.00003962515,0.0001960597,0.000214213,0.000194994],"domain_scores_gemma":[0.9995019,0.0001275331,0.00007363737,0.00005233487,0.0001319672,0.0001125167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005105425,0.0001601091,0.02358358,0.0008289761,0.000125846,0.002525273,0.002218438,0.00633854,0.004622445,0.3309475,0.2000735,0.4280652],"study_design_scores_gemma":[0.0000193815,0.00003891003,0.01670883,0.00009552083,0.00001125931,0.001313928,0.0003483387,0.0006388475,0.0007177562,0.001959761,0.9781162,0.00003135407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1553631,0.08945131,0.02474427,0.01669807,0.005139454,0.0001596829,0.0136445,0.001751544,0.693048],"genre_scores_gemma":[0.4080166,0.03554507,0.01449662,0.001295943,0.001185838,0.0001750743,0.006427961,0.0007220936,0.5321347],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1700631,"threshold_uncertainty_score":0.3381465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472943731826981,"score_gpt":0.2578877168841179,"score_spread":0.2231582795658481,"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."}}