{"id":"W1553285261","doi":"10.3386/w13660","title":"Financial Structure, Liquidity, and Firm Locations","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Market liquidity; Business; Financial system; Economics; Monetary economics; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003768882,0.0001694804,0.0002660151,0.001232112,0.0004410582,0.001514068,0.0003160248,0.0005382495,0.004645127],"category_scores_gemma":[0.004837897,0.0001887195,0.0001240635,0.001695882,0.0007709629,0.001297928,0.0008263651,0.000384835,0.0005367898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000775087,"about_ca_system_score_gemma":0.0003683406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007088296,"about_ca_topic_score_gemma":0.01148657,"domain_scores_codex":[0.9997553,0.00008675956,0.00001712625,0.00003401564,0.00003815562,0.00006860647],"domain_scores_gemma":[0.9897848,0.003143713,0.005707121,0.0001531845,0.0003475397,0.0008637102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001355133,0.00007425303,0.9840609,0.00002228875,0.00004903962,0.0002815046,0.0001963213,0.007208584,0.000435075,0.00234045,0.0003164396,0.004879614],"study_design_scores_gemma":[0.00005453178,0.0002356954,0.9796692,0.00004407661,0.00006160267,0.0003455608,0.001056854,0.01086528,0.0005437876,0.005848089,0.001242315,0.00003295096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964905,0.0002024735,0.0003686612,0.0002142094,0.000001421252,0.00000643673,0.0002745019,0.000006761429,0.002434943],"genre_scores_gemma":[0.9994492,0.0000678348,0.0000620823,0.000008725712,0.000003539129,0.000002600602,0.00009635836,8.493748e-7,0.0003086425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007088296,"threshold_uncertainty_score":0.01553953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.278722054332028,"score_gpt":0.4503302994613082,"score_spread":0.1716082451292802,"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."}}