{"id":"W4387722853","doi":"","title":"The Spatial Business Landscape of India","year":2013,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Geography; Environmental resource management; Environmental planning; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001272396,0.0001402107,0.0003671343,0.0002969124,0.0001855658,0.00009885376,0.0005028853,0.0001250055,0.0004477177],"category_scores_gemma":[0.0002109572,0.0001228051,0.00008759784,0.0002035064,0.0002703276,0.0001592838,0.0001969806,0.0002740657,0.0002956462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001883924,"about_ca_system_score_gemma":0.0001148807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005569545,"about_ca_topic_score_gemma":0.0002307035,"domain_scores_codex":[0.9981336,0.00003343882,0.0008508939,0.0003961383,0.00004674793,0.0005391612],"domain_scores_gemma":[0.998731,0.0003540988,0.0002639878,0.0004612801,0.00008757746,0.0001021155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008048405,0.0002687324,0.5283285,0.00009431389,0.0001920586,0.000007227685,0.0006389277,0.0009808587,0.00005839514,0.1503959,0.001529683,0.3174249],"study_design_scores_gemma":[0.0006105824,0.0000487976,0.8511057,0.00002945618,9.488496e-7,0.000006331055,0.000469723,0.003480375,0.00005574537,0.02077227,0.1231494,0.0002705981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.765273,0.0005589819,0.000008219527,0.001643323,0.0005123263,0.0004664747,0.00002384938,0.00001154167,0.2315023],"genre_scores_gemma":[0.9883068,0.007440615,0.0001667275,0.00007001166,0.0001224346,0.0001330317,0.00001096051,0.00002756457,0.003721861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3227772,"threshold_uncertainty_score":0.5007846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418131465733476,"score_gpt":0.2385415122900787,"score_spread":0.2143601976327439,"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."}}