{"id":"W4243914948","doi":"10.33423/jsis.v15i1.2727","title":"Where in America Are the Tech Firms Going and Why: An Exploratory Analysis of Site Selection Trends in the Information Technology Sector Based on Incentive Packages from 1980 to 2018","year":2020,"lang":"en","type":"article","venue":"Journal of Strategic Innovation and Sustainability","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Relocation; Liberian dollar; Incentive; Business; Exploratory analysis; Industrial organization; Economics; Finance; Computer science; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0007792979,0.00007975999,0.0003021564,0.001379026,0.00005615208,0.00006853159,0.0001065424,0.00006504687,0.00002889783],"category_scores_gemma":[0.0002058056,0.00005659277,0.00003530055,0.006115721,0.00005733706,0.000456936,0.00001550024,0.0002203309,4.258361e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001029698,"about_ca_system_score_gemma":0.00003736482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006174999,"about_ca_topic_score_gemma":0.0009627799,"domain_scores_codex":[0.9989744,0.00007310372,0.0006749483,0.0001276368,0.00006232553,0.00008757226],"domain_scores_gemma":[0.9988926,0.00006164338,0.0006566892,0.0001153294,0.000253297,0.00002046138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001585956,0.00007114357,0.9803359,0.00003119165,0.00006452123,0.000001649643,0.004802751,0.004963764,0.00002524193,0.005526496,0.00004424118,0.003974492],"study_design_scores_gemma":[0.0004806899,0.0004694511,0.8374885,0.00001598931,0.00004799282,3.686903e-7,0.05588598,0.09492575,0.00002489063,0.009843796,0.0007033008,0.0001132543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870764,0.00005837813,0.004512347,0.00810225,0.00001283561,0.0000903725,0.00008089557,0.000003274182,0.00006322581],"genre_scores_gemma":[0.9990463,0.00002753074,0.00008904014,0.0007713286,0.00001773025,0.000005360768,0.00003985214,0.000002037988,8.163612e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1428474,"threshold_uncertainty_score":0.2938401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03665317710004862,"score_gpt":0.2511324585071309,"score_spread":0.2144792814070823,"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."}}