{"id":"W6997302547","doi":"","title":"Using Case Study to Understand a Complex Housing Situation: Benefits and Challenges","year":2010,"lang":"en","type":"other","venue":"","topic":"Place Attachment and Urban Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relocation; Process (computing); Point (geometry); Psychosocial; Qualitative property; Triangulation; Qualitative research","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":[0.03644418,0.001143089,0.001240078,0.007581259,0.008928874,0.01166835,0.003442343,0.004766299,0.003674104],"category_scores_gemma":[0.02763686,0.0007282957,0.0008912299,0.007012108,0.0128034,0.02041983,0.008844231,0.00353268,0.0003837243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007495568,"about_ca_system_score_gemma":0.005713516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007769773,"about_ca_topic_score_gemma":0.01593805,"domain_scores_codex":[0.9417884,0.0517735,0.001170191,0.001172728,0.002745741,0.001349393],"domain_scores_gemma":[0.9424115,0.04984109,0.00226415,0.001719987,0.002490226,0.001273001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009779224,0.0004763503,0.01175148,0.002624721,0.0001039325,0.01834967,0.6591133,0.002258537,0.001280039,0.2159394,0.006751157,0.08125354],"study_design_scores_gemma":[0.00003048251,0.0001741999,0.002818884,0.00331001,0.00004335476,0.005186182,0.8003801,0.003119689,0.0005998128,0.06264175,0.1216017,0.00009398708],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4551054,0.04536772,0.2627771,0.0616255,0.001806493,0.004195819,0.0006478861,0.0002291379,0.1682449],"genre_scores_gemma":[0.8524365,0.01710201,0.1206405,0.002599008,0.0003537037,0.001815555,0.0001901293,0.00006232312,0.00480021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03644418,"threshold_uncertainty_score":0.1927375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3411799048556444,"score_gpt":0.4033172548233467,"score_spread":0.06213734996770232,"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."}}