{"id":"W1492711175","doi":"10.32396/usurj.v1i1.66","title":"Welcome and Acknowledgments","year":2014,"lang":"en","type":"article","venue":"USURJ University of Saskatchewan Undergraduate Research Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Political science; Law and economics; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004391707,0.001326487,0.001163474,0.002461724,0.003199705,0.007757824,0.002118357,0.00609762,0.4698993],"category_scores_gemma":[0.02965835,0.0004904122,0.001342589,0.0009453555,0.0008460742,0.003319962,0.005211283,0.006955396,0.371694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167573,"about_ca_system_score_gemma":0.00452345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410842,"about_ca_topic_score_gemma":0.004161288,"domain_scores_codex":[0.9954972,0.000854502,0.0001861235,0.0004485335,0.002359905,0.0006537884],"domain_scores_gemma":[0.9743699,0.003127923,0.0009904873,0.00155789,0.0119923,0.007961521],"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":[0.00001844728,0.00001249046,0.0000323575,0.00003286329,0.00000140606,0.0000253691,0.00001410729,0.000007788286,0.00007987429,0.000455056,0.9899149,0.009405302],"study_design_scores_gemma":[0.00000964356,0.00001307793,0.0001610295,0.00005442672,0.000002417799,0.0000322277,0.00005618977,0.00002362892,0.00006052817,0.0006554035,0.9989256,0.00000574558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0007435999,0.003490551,0.001394972,0.137511,0.6892754,0.0005065608,0.002231292,0.001603456,0.1632432],"genre_scores_gemma":[0.002060941,0.0009830981,0.0007398857,0.03314049,0.07876325,0.0002702942,0.001215328,0.0006620024,0.8821647],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.4698993,"threshold_uncertainty_score":0.7561244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05674057589027857,"score_gpt":0.2499949914153507,"score_spread":0.1932544155250722,"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."}}