{"id":"W2115306820","doi":"","title":"The architecture of firms’ innovative behaviors","year":2013,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portuguese; Spatial dispersion; Product (mathematics); Process (computing); Architecture; Knowledge management; Regional science; Business; Industrial organization; Marketing; Economic geography; Economics; Computer science; Geography","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":[0.0004366299,0.0001562448,0.000335878,0.00009904285,0.000272935,0.0001365322,0.000984224,0.00004619918,0.00004432146],"category_scores_gemma":[0.00001338382,0.000118842,0.00005461715,0.000290304,0.0001577213,0.000228161,0.0004883631,0.0001685708,0.00004644431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001090053,"about_ca_system_score_gemma":0.000009980777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007159788,"about_ca_topic_score_gemma":0.002439151,"domain_scores_codex":[0.9987007,0.00002663914,0.0005629027,0.0004115713,0.00003697196,0.0002611721],"domain_scores_gemma":[0.9985243,0.0002087141,0.0003993734,0.0007639662,0.00003213491,0.00007147386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008073906,0.0001804735,0.691105,0.0002156653,0.0008364037,0.0000041237,0.007301421,0.004375557,0.0002306972,0.1906767,0.002992216,0.102001],"study_design_scores_gemma":[0.0004272147,0.00009363658,0.5675294,0.00009558307,0.00003535146,0.000007937914,0.0009913197,0.2952828,0.0000202039,0.08874261,0.04625173,0.0005222915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990509,0.001410185,0.001998789,0.0012607,0.0001247255,0.0001764807,0.000566169,0.00001632764,0.003937589],"genre_scores_gemma":[0.9974847,0.000907011,0.000618037,0.0001835264,0.00009130898,0.00001882284,0.000446076,0.00001711813,0.0002333954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2909072,"threshold_uncertainty_score":0.9994516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858417702822025,"score_gpt":0.2096238672650642,"score_spread":0.1910396902368439,"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."}}