{"id":"W7053528519","doi":"","title":"Vivienda propia un determinante para el bienestar subjetivo según la ECVM 2015","year":2018,"lang":"es","type":"dissertation","venue":"El Repositorio Institucional de la Universidad EAFIT (Universidad EAFIT)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban environment; Population; Quarter (Canadian coin)","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":[0.002528959,0.0001913968,0.0003271698,0.0005341809,0.001859076,0.003433735,0.0007950171,0.0007147221,0.01158646],"category_scores_gemma":[0.007572878,0.000190182,0.0002885289,0.0009132896,0.001409677,0.001405137,0.002354983,0.001546453,0.0009288047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003780929,"about_ca_system_score_gemma":0.004824401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1328475,"about_ca_topic_score_gemma":0.235529,"domain_scores_codex":[0.9982534,0.0006549786,0.00006338727,0.0002280413,0.0003184838,0.000481743],"domain_scores_gemma":[0.9951299,0.001567966,0.001155161,0.0002888367,0.0007095406,0.001148514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000185985,0.0002824534,0.8805417,0.0002033943,0.000100288,0.0003280885,0.03156766,0.0007021381,0.0003850079,0.02937598,0.009010581,0.04731669],"study_design_scores_gemma":[0.0000140655,0.0001003224,0.9045054,0.0003784112,0.0000438504,0.00007831259,0.05435428,0.0006596365,0.0002007366,0.004287522,0.03535267,0.0000248987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404567,0.0009659028,0.001185269,0.004516792,0.00009070299,0.00007185483,0.0008527371,0.00002076627,0.05183927],"genre_scores_gemma":[0.9864081,0.0003121272,0.0004006503,0.0004365392,0.00001811964,0.00006512749,0.0003263911,0.00001291184,0.01202008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1328475,"threshold_uncertainty_score":0.2641485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006813550355918714,"score_gpt":0.2502585841955383,"score_spread":0.2434450338396196,"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."}}