{"id":"W7033912050","doi":"","title":"SNC-Lavalin: Follow the (Big) Money","year":2019,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Safeguarding; Transparency (behavior); Government (linguistics); Database transaction; Scram; False accusation","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":[0.001670346,0.0004194641,0.0002659892,0.0007289901,0.01703311,0.01065159,0.0009164206,0.004741249,0.06486712],"category_scores_gemma":[0.0074225,0.0003303791,0.0002626271,0.0006801361,0.003147707,0.003203051,0.0033286,0.004903418,0.02183642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01374918,"about_ca_system_score_gemma":0.02227742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4884804,"about_ca_topic_score_gemma":0.7593617,"domain_scores_codex":[0.9977069,0.0001447701,0.00003172374,0.0001833185,0.001201722,0.0007315201],"domain_scores_gemma":[0.9965674,0.0003043116,0.0001012201,0.0001612484,0.001405575,0.001460279],"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":[0.00002713318,0.00001239514,0.00109576,0.00001911346,0.000006374747,0.0002212507,0.0006532041,0.00004207065,0.0003059798,0.01852508,0.9616614,0.01743035],"study_design_scores_gemma":[0.000005894597,0.000007678163,0.0009285428,0.00002593185,0.000002999746,0.00005721803,0.000959334,0.00008316984,0.0002966498,0.002156552,0.9954566,0.00001939248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01578011,0.003839144,0.002138023,0.2017274,0.008375735,0.0001431098,0.0009487463,0.001547031,0.7655007],"genre_scores_gemma":[0.06833444,0.0009759277,0.001640867,0.04741322,0.000488508,0.00003814922,0.0003601431,0.0005563655,0.8801925],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5115196,"threshold_uncertainty_score":0.9712743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04420574406866043,"score_gpt":0.267742306588341,"score_spread":0.2235365625196806,"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."}}