{"id":"W1579727598","doi":"","title":"Head Office Employment in Canada, 1999 to 2005","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Metropolitan area; Head (geology); Business; Labour economics; Demographic economics; Economics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004252211,0.0004084352,0.0004429669,0.004423123,0.00253816,0.001821445,0.001102167,0.0003752552,0.003454617],"category_scores_gemma":[0.002139612,0.000212004,0.0004230733,0.009427753,0.0004364001,0.0006177574,0.0008413126,0.0007569914,0.0006107085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05559312,"about_ca_system_score_gemma":0.05558535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976941,"about_ca_topic_score_gemma":0.9987841,"domain_scores_codex":[0.9989312,0.00001665582,0.00004234511,0.00008932559,0.0005301892,0.0003902501],"domain_scores_gemma":[0.9963859,0.00006906634,0.0005065791,0.00003680266,0.002280294,0.0007212702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004715332,0.0001278849,0.7956661,0.0005512019,0.0001656243,0.0006456623,0.003356949,0.001527266,0.0006803145,0.002517613,0.07966399,0.1146258],"study_design_scores_gemma":[0.000009394312,0.0000247979,0.9495788,0.00008752025,0.00003079275,0.0000933645,0.001622491,0.0005428695,0.0002995441,0.00005056581,0.04763712,0.0000227815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7778813,0.009027633,0.0005651296,0.00335993,0.000218542,0.0001404689,0.1723758,0.0003250405,0.03610612],"genre_scores_gemma":[0.9103808,0.005110997,0.0009372235,0.000650396,0.00007016771,0.00004852192,0.04642359,0.00004239356,0.03633603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05559312,"threshold_uncertainty_score":0.4033582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106877075468121,"score_gpt":0.2068455772460036,"score_spread":0.1957768064913223,"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."}}