{"id":"W2228581065","doi":"10.1108/s1479-067x(2004)0000009006","title":"Firm Demographics in Silicon Valley North","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Demographics; Silicon valley; Silicon; Geography; Materials science; Business; Demography; Optoelectronics; Sociology; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001923168,0.000284325,0.0005323252,0.0009560965,0.00004090321,0.00004230865,0.000236879,0.0004156574,0.004852859],"category_scores_gemma":[0.00002354612,0.0003461467,0.0001816059,0.0001805255,0.00006303952,0.00009933588,0.00005489835,0.0004657048,0.001992785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001440205,"about_ca_system_score_gemma":0.00004264193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002002765,"about_ca_topic_score_gemma":0.001479526,"domain_scores_codex":[0.9983105,0.000001609663,0.0008946864,0.0005097775,0.00004406516,0.0002393837],"domain_scores_gemma":[0.9991367,0.00002300982,0.0003586515,0.0003824088,0.00003948197,0.00005971101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000378004,0.00002201779,0.03448321,0.00002992084,0.00002877457,0.000008367261,0.00003322585,0.00001556408,6.631379e-8,0.9636834,0.001343375,0.00034827],"study_design_scores_gemma":[0.0005836674,0.00004653149,0.04151261,0.00004431273,0.000003263955,0.000001987951,0.000002679631,0.00005969344,8.916683e-7,0.525937,0.4312673,0.0005400651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002299489,0.000942105,0.0001360137,0.0006221859,0.000320951,0.0002291766,0.0001220992,0.00006180437,0.9952662],"genre_scores_gemma":[0.2725051,0.001556182,0.0004808004,0.002922947,0.0001971743,0.00001891102,0.0002999634,0.0001267798,0.7218922],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4377464,"threshold_uncertainty_score":0.999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03613203241148365,"score_gpt":0.200440693855798,"score_spread":0.1643086614443143,"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."}}