{"id":"W7071205494","doi":"","title":"Rogers-Shaw deal approved by Ottawa in blockbuster telecom merger","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Government (linguistics); Launched; Merger control","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":[0.001428346,0.0006517324,0.000618944,0.001417604,0.00887734,0.01101182,0.001299663,0.01120549,0.2708236],"category_scores_gemma":[0.006280613,0.0007166779,0.0006909098,0.001193119,0.001642681,0.002286536,0.002272516,0.00637072,0.09808667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01412224,"about_ca_system_score_gemma":0.03115597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4402849,"about_ca_topic_score_gemma":0.7430606,"domain_scores_codex":[0.9971864,0.0001277863,0.00007029517,0.0002978556,0.001426293,0.0008914521],"domain_scores_gemma":[0.9968828,0.0004345174,0.00007143271,0.0002770521,0.001513953,0.0008202984],"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":[0.00003517406,0.00002252688,0.0002737328,0.00001631936,0.000004155763,0.0001471677,0.00009329246,0.00005995555,0.0001446274,0.02624386,0.9649645,0.007994687],"study_design_scores_gemma":[0.00001077429,0.00000973138,0.001031309,0.00002110237,0.000003925038,0.0000305074,0.0001564711,0.00005990692,0.0001348641,0.0009242842,0.9976023,0.00001480254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002831573,0.000904599,0.000214301,0.02604772,0.004031609,0.0001546315,0.001471925,0.0003319282,0.9640117],"genre_scores_gemma":[0.003608865,0.0001005853,0.00004541388,0.002326499,0.00008925564,0.00001931942,0.0001261339,0.00005306343,0.9936309],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.559715,"threshold_uncertainty_score":0.9059952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003422034832781606,"score_gpt":0.1881241949951174,"score_spread":0.1847021601623358,"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."}}