{"id":"W2160676227","doi":"10.1111/1911-3838.12021","title":"A Balanced Scorecard for Maple Leaf Consulting","year":2013,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Maple; Balanced scorecard; Business; Botany; Biology; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01331966,0.0006611358,0.0007383878,0.008352018,0.001088641,0.003509345,0.001192131,0.0008568211,0.01413041],"category_scores_gemma":[0.06913619,0.0002000165,0.000378365,0.01191384,0.001075103,0.003649977,0.002317931,0.001099467,0.003528844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0041146,"about_ca_system_score_gemma":0.003566862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00191012,"about_ca_topic_score_gemma":0.002677124,"domain_scores_codex":[0.9761543,0.01113616,0.003653554,0.0006127433,0.007757762,0.0006854495],"domain_scores_gemma":[0.970924,0.009130376,0.003674956,0.001794017,0.01263427,0.001842427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004677534,0.0005544479,0.02188539,0.0003707928,0.00006358713,0.0002055713,0.001779522,0.003445422,0.002441826,0.09685045,0.1257376,0.7461977],"study_design_scores_gemma":[0.0003918154,0.001614221,0.129911,0.000898875,0.00006220536,0.0007601949,0.005753593,0.03321419,0.004807866,0.1063197,0.7159575,0.0003087208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2645427,0.001280811,0.3015541,0.01235687,0.002359481,0.02582663,0.01785785,0.002783964,0.3714376],"genre_scores_gemma":[0.4666938,0.0007720728,0.4885607,0.0009430882,0.0003116697,0.01043302,0.0127721,0.0002725087,0.01924095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01413041,"threshold_uncertainty_score":0.0704419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892973172835918,"score_gpt":0.2345304113476296,"score_spread":0.2156006796192704,"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."}}