{"id":"W2997074469","doi":"10.1007/s00168-019-00968-1","title":"New business location: how local characteristics influence individual location decision?","year":2020,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Business; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001787167,0.0001698734,0.0006406915,0.0006248388,0.0004288892,0.002516673,0.0005941344,0.001016077,0.008440565],"category_scores_gemma":[0.01264719,0.0002044837,0.0003973843,0.001211313,0.0008363297,0.002346751,0.0007133955,0.0008021998,0.001112242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515202,"about_ca_system_score_gemma":0.0002614898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007053952,"about_ca_topic_score_gemma":0.01492281,"domain_scores_codex":[0.999177,0.0004635903,0.00003311234,0.0001654826,0.00007780848,0.00008296124],"domain_scores_gemma":[0.9861925,0.008104035,0.002447298,0.0008315853,0.0009668092,0.001457694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007431293,0.0004768331,0.9470871,0.00009904281,0.0005633973,0.0003127696,0.001486914,0.002883601,0.001368559,0.002563618,0.00197283,0.04044217],"study_design_scores_gemma":[0.00004351266,0.0002713593,0.9659215,0.00005461563,0.000375407,0.0003205684,0.005585229,0.01366526,0.0004975678,0.01030914,0.002907874,0.00004796043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917772,0.0007453439,0.001979031,0.001233896,0.00003400217,0.00001035058,0.0001737392,0.000007668863,0.004038851],"genre_scores_gemma":[0.9986982,0.0001622139,0.0002293504,0.00005688906,0.00002291107,0.000003616015,0.00005030454,0.000006394102,0.0007702048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008440565,"threshold_uncertainty_score":0.02823645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180798171855755,"score_gpt":0.2777567115372552,"score_spread":0.1596768943516797,"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."}}