{"id":"W2789647856","doi":"","title":"The Canadian Supreme Court clarifies the notion of \"prevention\" of competition and revitalizes efficiencies defence in a merger case (Tervita)","year":2015,"lang":"en","type":"article","venue":"e-Competitions Bulletin","topic":"Taxation and Legal Issues","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Competition (biology); Law; Political science; Law and economics; Economics","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":[0.01139861,0.000810014,0.001056002,0.003015539,0.02758186,0.02043645,0.0057524,0.03856188,0.005409798],"category_scores_gemma":[0.02528682,0.001717717,0.00216709,0.0028095,0.02208112,0.00428706,0.006906278,0.03071442,0.0009434696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05033195,"about_ca_system_score_gemma":0.1305368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.917464,"about_ca_topic_score_gemma":0.9591034,"domain_scores_codex":[0.9705634,0.002295159,0.00102589,0.002329747,0.01360292,0.01018302],"domain_scores_gemma":[0.9861342,0.005652705,0.0006799991,0.0009743706,0.005118573,0.001440254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001402558,0.0000201354,0.0009266168,0.00001886527,0.00001721586,0.0004112559,0.001553829,0.0003177663,0.0003897976,0.9531873,0.04061044,0.002532827],"study_design_scores_gemma":[0.0002427712,0.0001278447,0.01467441,0.000546601,0.0003475264,0.0007478083,0.005258657,0.00288634,0.00421818,0.1689699,0.8013026,0.0006774905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05746839,0.002863782,0.005857938,0.1330994,0.002434822,0.0003103738,0.000455295,0.0002641154,0.7972459],"genre_scores_gemma":[0.5971845,0.001548695,0.005200149,0.1966726,0.00119219,0.0002622789,0.0002083899,0.0001602301,0.197571],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08253604,"threshold_uncertainty_score":0.3651856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02998220440767977,"score_gpt":0.2426877226338636,"score_spread":0.2127055182261838,"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."}}