{"id":"W6996923850","doi":"","title":"TELUS investing $17 billion across Alberta and generating 8,500 new jobs from 2022 to 2026","year":2022,"lang":"en","type":"other","venue":"","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Investment (military); Government (linguistics); Economic forecasting","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":[0.0004600999,0.0006003695,0.000189512,0.001299068,0.002087611,0.002758248,0.0006856903,0.001261857,0.1385862],"category_scores_gemma":[0.0007702117,0.0002035401,0.0003149345,0.001028043,0.0005857356,0.0006531392,0.001288596,0.001049485,0.03467901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01033292,"about_ca_system_score_gemma":0.03490706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7653441,"about_ca_topic_score_gemma":0.9209321,"domain_scores_codex":[0.9995195,0.00001272772,0.000003925079,0.00002801985,0.0002281821,0.0002076509],"domain_scores_gemma":[0.9992738,0.0000173822,0.0000112895,0.00001617328,0.0003176391,0.000363702],"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":[0.000109358,0.00007404207,0.002070727,0.00005761477,0.000007479046,0.0001145527,0.00006631255,0.0004315415,0.0008094135,0.009988611,0.9287986,0.05747173],"study_design_scores_gemma":[0.00004743574,0.00003023962,0.006210943,0.00005851173,0.000007719885,0.0000347503,0.0004405451,0.0007394301,0.0008138356,0.002157646,0.9894468,0.00001213318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01487559,0.001040717,0.001358013,0.01037535,0.00168002,0.0001618232,0.01815973,0.001766281,0.9505824],"genre_scores_gemma":[0.01578214,0.0003737106,0.0007368009,0.0008382613,0.00004707561,0.00001449936,0.003684971,0.0000940155,0.9784285],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2346559,"threshold_uncertainty_score":0.4720756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04652848718595874,"score_gpt":0.2533485150948623,"score_spread":0.2068200279089035,"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."}}