{"id":"W284040088","doi":"","title":"Productivity Disparities between American and Canadian High Tech Worker: The Human Capital and Knowledge spillovers/Disparites De Productivite Des Travailleurs Du Haut Savoir Canadiens et Americains : Le Capital Humain et Les Economies D'agglomeration Du Savoir","year":2009,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Human capital; Metropolitan area; Externality; Workforce; Economics; Labour economics; Knowledge economy; Demographic economics; Economy; Economic growth; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002958884,0.0003799617,0.0007859688,0.00110517,0.002402761,0.0009413646,0.000614784,0.0001184431,0.00002466161],"category_scores_gemma":[0.0006260927,0.0003893914,0.0001819499,0.0007407406,0.006867277,0.001504344,0.00004713506,0.0005777073,0.000003349237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002080753,"about_ca_system_score_gemma":0.005419306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9223701,"about_ca_topic_score_gemma":0.986147,"domain_scores_codex":[0.997222,0.0001701814,0.0007543744,0.0007252501,0.0001085827,0.001019579],"domain_scores_gemma":[0.9968873,0.0002580743,0.0008277721,0.0003007347,0.000287773,0.001438295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008344227,0.00005788224,0.6265966,0.00001913998,0.0001468805,0.00003646833,0.008835157,0.00140848,0.00003055543,0.3476427,0.001948687,0.01326908],"study_design_scores_gemma":[0.0002680009,0.0003373143,0.9325679,0.00008851742,0.00005392429,0.0002755424,0.002410783,0.0004911451,0.00001594383,0.0268111,0.03619231,0.0004874908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8256803,0.008426624,0.0001195491,0.1644563,0.0002526847,0.0001850967,0.0003476498,0.000004315063,0.0005275544],"genre_scores_gemma":[0.9942648,0.003057502,0.0004731097,0.0008566784,0.0006026764,0.000006304899,0.00001897924,0.00002547291,0.0006944329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3208316,"threshold_uncertainty_score":0.9998558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285777563469066,"score_gpt":0.2216635512434388,"score_spread":0.1930857948965322,"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."}}