{"id":"W6969401853","doi":"10.5683/sp3/rvvxck","title":"Replication Data and Code for: Immigrants and Exports: Firm-level Evidence from Canada","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Brock University","funders":"","keywords":"Immigration; Replication (statistics); Replicate; Data file; Code (set theory)","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":[0.004918803,0.001895157,0.001797349,0.007717818,0.004137892,0.004222736,0.004338749,0.001687817,0.1815093],"category_scores_gemma":[0.05549414,0.001471382,0.002836576,0.01516955,0.001271917,0.001384115,0.002018182,0.00264009,0.03645669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01508891,"about_ca_system_score_gemma":0.07279436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9454443,"about_ca_topic_score_gemma":0.9584975,"domain_scores_codex":[0.9957016,0.0005506494,0.0005170877,0.0008495813,0.001419552,0.0009616121],"domain_scores_gemma":[0.9589291,0.007779646,0.002100243,0.007675479,0.0214206,0.002094966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009318939,0.00002035561,0.00292608,0.0002568991,0.00007270087,0.00002601785,0.00006706837,0.0003298901,0.0000352783,0.0005875482,0.9933091,0.002275887],"study_design_scores_gemma":[0.002239427,0.00004031244,0.0525094,0.001164871,0.0003745303,0.0001058146,0.0007276659,0.001009258,0.0006710282,0.002768502,0.9381958,0.0001932458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003969113,0.00004437537,0.0001974368,0.0001709244,0.00006111491,0.0001813142,0.9973374,0.0003271815,0.001283296],"genre_scores_gemma":[0.00563995,0.0001047961,0.001929278,0.0002110089,0.00003065335,0.001750361,0.9822525,0.0005166795,0.007564827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1815093,"threshold_uncertainty_score":0.6072093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2969938322329425,"score_gpt":0.4062230908308935,"score_spread":0.109229258597951,"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."}}