{"id":"W49519803","doi":"","title":"A Comparison of the Industrial and Market Characteristics of Canadian and US Firms in the Commercial Geographic Information Systems (GIS) Sector","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Destinations; Geographic information system; Population; Product (mathematics); Industrial organization; Economic geography; Economics; Geography; Tourism","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003102096,0.00006722476,0.000202548,0.001069072,0.0007542465,0.0001348689,0.0004731479,0.00006847455,0.000007043603],"category_scores_gemma":[0.0005600392,0.00004387113,0.00003762404,0.001965535,0.001896575,0.000596142,0.00001532021,0.0001927333,1.92522e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147931,"about_ca_system_score_gemma":0.002300472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7023224,"about_ca_topic_score_gemma":0.8800076,"domain_scores_codex":[0.9983866,0.0001477315,0.0005396011,0.00004944738,0.000607729,0.0002689349],"domain_scores_gemma":[0.9983681,0.0001669184,0.0006161471,0.00009018952,0.0004679432,0.0002907249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005916095,0.000002373778,0.974794,0.000008116084,0.00000528187,0.000001269884,0.01928832,0.000008811316,0.000001020001,0.004197987,0.0009306375,0.0007562643],"study_design_scores_gemma":[0.0001632417,0.00003115183,0.8932893,0.0001062272,0.000006985125,0.00003583397,0.01938933,0.00005740533,3.559161e-7,0.00003705481,0.08683666,0.00004648271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920015,0.0001851643,0.000002148631,0.003380583,0.0004829677,0.00022517,0.00002417272,7.479114e-7,0.003697552],"genre_scores_gemma":[0.999638,0.0001039301,0.000005782088,0.000155947,0.00008250497,0.000001900733,5.043591e-7,0.000001138175,0.00001024228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1776851,"threshold_uncertainty_score":0.6988008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05726399355153535,"score_gpt":0.2742331182888346,"score_spread":0.2169691247372992,"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."}}