{"id":"W4410314002","doi":"10.32920/ifmj.v4i1-2.2095","title":"Imagined Communities and Reimagined Spaces of Delhi Metro","year":2024,"lang":"en","type":"article","venue":"Interactive Film and Media Journal","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; New delhi; Archaeology; Metropolitan area","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":[0.0001236007,0.0001030282,0.0001908666,0.0002456452,0.00003660944,0.0001325395,0.00005990072,0.00002488251,0.0001694487],"category_scores_gemma":[0.00003792562,0.00007981031,0.0000534992,0.00009783464,0.00007637005,0.0003004399,0.00002181606,0.0003235351,0.000002961186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000202417,"about_ca_system_score_gemma":0.00001440101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008027783,"about_ca_topic_score_gemma":0.00009863367,"domain_scores_codex":[0.9995335,0.00003765451,0.0001703918,0.00005277653,0.00009861217,0.0001070129],"domain_scores_gemma":[0.9994625,0.0003080507,0.00002603846,0.00005515762,0.00006108959,0.00008714679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006710428,0.0002223147,0.03813265,0.001594206,0.009028936,0.001104339,0.1848738,0.001234167,0.1900875,0.002673301,0.09829717,0.4720806],"study_design_scores_gemma":[0.002099374,0.0005008874,0.02107438,0.002169738,0.001345384,0.00149102,0.04228541,0.8316225,0.04783665,0.008310762,0.04010164,0.001162222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597926,0.01977353,0.01528887,0.0006120041,0.0009943853,0.00005320951,0.00003694552,0.00008221016,0.003366268],"genre_scores_gemma":[0.9974834,0.001616672,0.0006048185,0.00002189846,0.0001390466,0.000001829934,0.000003946198,0.00001336196,0.0001150205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8303884,"threshold_uncertainty_score":0.325457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00830134306422037,"score_gpt":0.2153746977574574,"score_spread":0.207073354693237,"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."}}