{"id":"W7095382080","doi":"","title":"Increasing Canada’s International Competitiveness: Is There a Link between Skilled","year":2015,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Notice; Production (economics); Function (biology); Developing country","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":[0.001148789,0.0003262298,0.0004122813,0.002003034,0.003065034,0.004578033,0.0008704504,0.000751783,0.01144519],"category_scores_gemma":[0.00666214,0.0001729976,0.0007275043,0.003970708,0.001810614,0.001154962,0.002155367,0.001403962,0.0003643029],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03271063,"about_ca_system_score_gemma":0.07891417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9816977,"about_ca_topic_score_gemma":0.9883863,"domain_scores_codex":[0.9984119,0.00009712301,0.00003537448,0.0001642049,0.0004675072,0.0008239195],"domain_scores_gemma":[0.9934962,0.0009025406,0.001206757,0.0001628767,0.001910556,0.002321087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001511496,0.0001283409,0.8965923,0.0001455568,0.0002045543,0.0004621301,0.003174928,0.00234878,0.0003664267,0.03941044,0.01549731,0.04151819],"study_design_scores_gemma":[0.00003697274,0.00006378795,0.9566671,0.0001937085,0.0001579936,0.00009113982,0.00750928,0.002007064,0.0003071915,0.003957727,0.0289572,0.00005094468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8319342,0.003653559,0.001027163,0.02729521,0.0001449634,0.00008428097,0.004455316,0.00007861374,0.1313267],"genre_scores_gemma":[0.9912155,0.0008823819,0.00032005,0.0006310252,0.00002398185,0.00001076846,0.0007573243,0.00001052172,0.006148463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9672894,"threshold_uncertainty_score":0.2373333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113502551159904,"score_gpt":0.2838899803914446,"score_spread":0.2527549548798456,"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."}}