{"id":"W4411870045","doi":"10.1016/j.cities.2025.106204","title":"Does taken-for-granted technology challenge firm location theories? A micro-spatial analysis of knowledge-intensive business services (KIBS)","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Fonds de recherche du Québec","keywords":"Business; Knowledge management; Industrial organization; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001464332,0.0001935211,0.0005838127,0.00119097,0.0009240435,0.003190203,0.001157142,0.0006968706,0.006157502],"category_scores_gemma":[0.01089605,0.0001741585,0.0005365898,0.003058555,0.002434592,0.002505607,0.001438932,0.0007724543,0.0004907196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005655206,"about_ca_system_score_gemma":0.002436624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2711416,"about_ca_topic_score_gemma":0.3586375,"domain_scores_codex":[0.9990026,0.0003990724,0.00003164055,0.0001601516,0.0001548646,0.0002516304],"domain_scores_gemma":[0.9908801,0.005139135,0.002099457,0.0005302562,0.0007378915,0.0006130518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002994024,0.0001554121,0.870155,0.000188159,0.0002533671,0.0009952366,0.004199165,0.02566271,0.0004661441,0.05142856,0.001938188,0.04425867],"study_design_scores_gemma":[0.00006243493,0.0004220439,0.8507038,0.0001724504,0.0003014321,0.0002592529,0.03286098,0.07001249,0.0005487228,0.03203307,0.01253188,0.00009141021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868752,0.0006255971,0.003718729,0.002338468,0.00001384538,0.0000312948,0.0003424653,0.00001665858,0.006037676],"genre_scores_gemma":[0.9989543,0.0001250902,0.0002377033,0.00003523409,0.000007984955,0.000005420102,0.00005762721,0.000003007927,0.0005736416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2711416,"threshold_uncertainty_score":0.5391268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720980147398601,"score_gpt":0.2870652477189169,"score_spread":0.2698554462449309,"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."}}