{"id":"W7043153932","doi":"","title":"The second annual \"Business as a Force for Good\" award recognises six outstanding Canadian companies making a positive impact on the world - Commodities (COMMODIT) News","year":2019,"lang":"en","type":"other","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"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":[0.001584616,0.0008765503,0.0006210669,0.002123151,0.009072503,0.009677174,0.001335286,0.008289979,0.1121762],"category_scores_gemma":[0.004271675,0.0005575415,0.0008391149,0.001879766,0.002215672,0.001617592,0.002244212,0.006689453,0.02306496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02863482,"about_ca_system_score_gemma":0.09849066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9165449,"about_ca_topic_score_gemma":0.9779491,"domain_scores_codex":[0.9961085,0.00006618776,0.00003519425,0.0000931988,0.002472086,0.001224999],"domain_scores_gemma":[0.9948701,0.0001899301,0.00006371261,0.0001054418,0.002699087,0.002071885],"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":[0.000008931293,0.000006624515,0.00009037647,0.00001693111,0.000001227876,0.00002580772,0.00002620134,0.00001496628,0.00003716394,0.002678179,0.9930527,0.004041021],"study_design_scores_gemma":[0.000006505576,0.000004612863,0.001445055,0.00002935305,0.000002362338,0.000008220769,0.0001945704,0.00004650078,0.00005146833,0.0004332816,0.9977665,0.00001156383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002643612,0.002712917,0.0004071595,0.1400909,0.03063207,0.0002337419,0.007189188,0.0005678762,0.8155226],"genre_scores_gemma":[0.006169286,0.0009081105,0.000211087,0.007899453,0.0009202032,0.0000296276,0.001187533,0.0001035771,0.9825711],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1121762,"threshold_uncertainty_score":0.3752669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251538569682386,"score_gpt":0.3222021251256926,"score_spread":0.2896867394288687,"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."}}