{"id":"W2997894777","doi":"","title":"Canada's Efficiency Defence: Why Ignoring Section 96 Does More Harm Than Good for Economic Efficiency and Innovation","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitor analysis; Consolidation (business); Harm; Competition (biology); Competition law; Parliament; Law and economics; Industrial organization; Economic efficiency; Supreme court; Competition policy; Economics; Business; Political science; Market economy; Law; Monopoly; Politics; Management; Accounting","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":[0.01903277,0.0006366185,0.0008874857,0.002218584,0.01593589,0.01414411,0.004267209,0.02118018,0.005264163],"category_scores_gemma":[0.06648421,0.0008718615,0.001213144,0.002941418,0.01886723,0.006499166,0.002965134,0.01731563,0.001149246],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07068544,"about_ca_system_score_gemma":0.1983084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9564689,"about_ca_topic_score_gemma":0.9546551,"domain_scores_codex":[0.9526609,0.0044551,0.001529989,0.003877012,0.0294295,0.008047549],"domain_scores_gemma":[0.9461213,0.01829733,0.001971317,0.002127343,0.02724773,0.004234959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003828903,0.00001678422,0.001833445,0.000146903,0.00003839931,0.0001701664,0.002055603,0.0003303698,0.0003912877,0.5897351,0.3903804,0.01486327],"study_design_scores_gemma":[0.00008590914,0.00004129508,0.007851788,0.0004964059,0.0001161763,0.0001600055,0.001730788,0.000731746,0.001086415,0.08305328,0.9043898,0.0002563413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009089577,0.007664575,0.003029075,0.8271177,0.002876485,0.0000624708,0.0005869414,0.0001655061,0.1494076],"genre_scores_gemma":[0.2841308,0.005080213,0.004274969,0.6367306,0.001700875,0.0001076064,0.0002818129,0.0002261282,0.06746718],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9293146,"threshold_uncertainty_score":0.5128611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006692077333364606,"score_gpt":0.2495329903037778,"score_spread":0.2428409129704132,"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."}}