{"id":"W4327605616","doi":"10.18280/ijsdp.180220","title":"Facades of Historic Shop-Cum-Houses in Colonial Cantonment Towns in Bengal Presidency, India","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"BENGAL; Presidency; Colonialism; Indus; Ancient history; Geography; History; Archaeology; Political science; Geology; Law; Paleontology; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009872402,0.0002343248,0.0001487983,0.002334169,0.001379267,0.001275836,0.0004308593,0.0002128344,0.002738538],"category_scores_gemma":[0.0004065184,0.0002244224,0.000171833,0.002946185,0.001540059,0.0002878527,0.0007317812,0.000265482,0.0002615242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363738,"about_ca_system_score_gemma":0.0005262252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07537481,"about_ca_topic_score_gemma":0.282063,"domain_scores_codex":[0.9998306,0.0000260444,0.000008795123,0.00003075672,0.00004091464,0.00006287104],"domain_scores_gemma":[0.9997743,0.00004612887,0.00006967317,0.00002412238,0.00004247767,0.00004328339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004569126,0.0001031685,0.7209954,0.0004415537,0.00007062655,0.01383321,0.1432201,0.001333534,0.01974451,0.004422539,0.002143377,0.09323508],"study_design_scores_gemma":[0.000001373656,0.00005127635,0.959372,0.0000323769,0.00001508352,0.001256351,0.0340547,0.0001472632,0.000364772,0.00007878621,0.004611135,0.00001497852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965954,0.0001553509,0.00004342266,0.00002077319,0.000002489921,0.000007451262,0.0001043015,0.000005502344,0.00306529],"genre_scores_gemma":[0.9988934,0.00007528947,0.00009206431,0.000003484841,0.000001589873,0.000002636016,0.00006646611,0.000002718771,0.0008624078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07537481,"threshold_uncertainty_score":0.1498722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06102153570347207,"score_gpt":0.2628969372095242,"score_spread":0.2018754015060521,"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."}}