{"id":"W3140853781","doi":"10.1007/978-3-030-63443-8_13","title":"Where Are the Knowledge Workers? The Case of Silicon Valley North in Ontario, Canada","year":2021,"lang":"en","type":"book-chapter","venue":"Research for development","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Silicon valley; Work (physics); Affect (linguistics); Pandemic; Mobilities; Knowledge economy; Workspace; Public relations; Sociology; Coronavirus disease 2019 (COVID-19); Political science; Geography; Engineering; Knowledge management; Social science; Computer science; Medicine; Communication","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":[],"consensus_categories":[],"category_scores_codex":[0.001818471,0.0002697444,0.0005778017,0.0002682035,0.0003784427,0.00007069978,0.0006529614,0.0001623362,0.0005638757],"category_scores_gemma":[0.00014291,0.0001976516,0.0001280982,0.0001850416,0.0001678043,0.00004818156,0.0003558491,0.0007724038,0.00006781704],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002813302,"about_ca_system_score_gemma":0.00825961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6452622,"about_ca_topic_score_gemma":0.9991409,"domain_scores_codex":[0.9976402,0.00003029444,0.0009327725,0.0005813702,0.0002310994,0.0005842614],"domain_scores_gemma":[0.9979724,0.0006748921,0.0003377891,0.0005453508,0.0003483184,0.0001212765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002456041,0.0002862033,0.1732464,0.001310662,0.001199755,0.002590677,0.01251642,0.0002552629,5.789429e-7,0.5830536,0.1884383,0.03685654],"study_design_scores_gemma":[0.0002549299,0.00002268506,0.04130528,0.0003846288,0.000002739144,0.00002512772,0.001136385,0.00001732412,0.000008309635,0.004064731,0.952508,0.0002698855],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.190538,0.04923139,0.00006710362,0.006052802,0.001076752,0.004830038,0.0002717102,0.00001662412,0.7479156],"genre_scores_gemma":[0.231524,0.001956719,0.0002519117,0.0001021486,0.00008083315,0.0004760003,0.00008700499,0.00006626789,0.7654551],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7640697,"threshold_uncertainty_score":0.9973626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1365087404870271,"score_gpt":0.2973805281401234,"score_spread":0.1608717876530963,"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."}}