{"id":"W7030155534","doi":"","title":"A Microsimulation Platform of Firm Evolution Processes","year":2017,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Logit; Microdata (statistics); Outsourcing; Relocation; Duration (music); Hazard; Flexibility (engineering)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008042304,0.0005833474,0.0005266367,0.0007174617,0.0004659616,0.001384548,0.001068485,0.0008278913,0.01253148],"category_scores_gemma":[0.003406747,0.0004027368,0.001235535,0.0005516562,0.0008096398,0.001135907,0.00128969,0.001019995,0.0008266825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501609,"about_ca_system_score_gemma":0.00165577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01566608,"about_ca_topic_score_gemma":0.01017271,"domain_scores_codex":[0.9996459,0.0001148579,0.00002122922,0.0001014779,0.00005742903,0.0000590512],"domain_scores_gemma":[0.9985459,0.0008106472,0.0002263399,0.000186082,0.0001574629,0.00007369523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002458479,0.00003600081,0.0009501849,0.00003126546,0.00002697282,0.00006828535,0.00007895506,0.8137255,0.0006949752,0.1781276,0.0006872834,0.005548381],"study_design_scores_gemma":[0.000009262371,0.00001737828,0.0002060144,0.000006305454,0.000006739747,0.000009118747,0.00001819669,0.9727889,0.0001503877,0.02481713,0.001964299,0.000006212666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08851058,0.0003098679,0.8727025,0.0008218492,0.0001217342,0.0001879218,0.001482795,0.001067388,0.03479533],"genre_scores_gemma":[0.8147998,0.0005904739,0.1648369,0.0001348008,0.00006948625,0.0007322253,0.001259454,0.0002176152,0.01735938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01566608,"threshold_uncertainty_score":0.04192203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708585663146674,"score_gpt":0.2371212203508057,"score_spread":0.210035363719339,"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."}}