{"id":"W7034506907","doi":"","title":"What Kleenex's Canadian exit reveals about our grocery sector's lack of competition","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Market competition; Government (linguistics); Work (physics)","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":[0.0009195511,0.0004110532,0.0003396889,0.001148848,0.01737918,0.008366073,0.0008443812,0.003704392,0.1284583],"category_scores_gemma":[0.003002181,0.0002510786,0.0003261452,0.002621609,0.00347813,0.002664459,0.001204559,0.004035476,0.01495108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02160336,"about_ca_system_score_gemma":0.02745496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9368629,"about_ca_topic_score_gemma":0.9782064,"domain_scores_codex":[0.9980209,0.00008003094,0.0000190785,0.0001360443,0.001076952,0.0006670399],"domain_scores_gemma":[0.9971934,0.0002130102,0.0001203012,0.00006395074,0.001119912,0.00128944],"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":[0.00001286125,0.00001020972,0.00152128,0.00003129207,0.00000195732,0.0001881958,0.0008408232,0.0000252104,0.0001591167,0.00431561,0.979176,0.01371739],"study_design_scores_gemma":[0.000003281818,0.000008550898,0.006544441,0.00006305984,0.000002928177,0.000161345,0.006110637,0.00004869337,0.000105874,0.0006333295,0.9862861,0.0000318731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01195532,0.003820993,0.0003862348,0.5797356,0.006198098,0.00002686376,0.002063549,0.0003254924,0.3954878],"genre_scores_gemma":[0.08954084,0.006261326,0.0003635462,0.09289697,0.001168135,0.00001303016,0.0008446091,0.0003362166,0.8085754],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1284583,"threshold_uncertainty_score":0.429736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975597414545895,"score_gpt":0.2538327452948865,"score_spread":0.2340767711494276,"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."}}