{"id":"W2156924245","doi":"","title":"In Search of \"Home\"","year":2008,"lang":"en","type":"article","venue":"Postcolonial text","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002273127,0.0000964329,0.0003506488,0.0002514876,0.00005789363,0.000007456336,0.0001823593,0.00009672935,0.0004564559],"category_scores_gemma":[0.0000129684,0.0001171196,0.00007736643,0.00034644,0.0001120394,0.0001552109,0.00004871454,0.0001383127,0.000761199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006056804,"about_ca_system_score_gemma":0.00003615003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010612,"about_ca_topic_score_gemma":0.0001286097,"domain_scores_codex":[0.9989675,0.00001264633,0.00045173,0.0002403241,0.00003823893,0.0002895291],"domain_scores_gemma":[0.9995639,0.00003386852,0.0001212755,0.0002119347,0.00002221466,0.00004681218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002272131,0.0007739931,0.5188842,0.0000968136,0.00004662804,0.0002739021,0.01752041,0.0002131174,0.0008796938,0.4514908,0.007072991,0.002520265],"study_design_scores_gemma":[0.002007338,0.0002792556,0.6660265,0.00002556386,0.000002204821,0.00004911386,0.00002907349,0.0004481872,0.0021373,0.004485724,0.3240671,0.0004426041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470416,0.0006043076,0.00005304963,0.0007517214,0.0003300218,0.0001216119,0.00004549138,0.00001453009,0.05103771],"genre_scores_gemma":[0.9958409,0.0003767642,0.0004007875,0.000307814,0.0001096444,0.000007954197,0.000003006525,0.00001794328,0.002935188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.447005,"threshold_uncertainty_score":0.9783928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03741841581692502,"score_gpt":0.2489823952251994,"score_spread":0.2115639794082744,"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."}}