{"id":"W7098280889","doi":"","title":"We thank the Canadian Coalition for Good Governance for making their information available to us and Matt Fullbrook and the Shareholder Association for Research and Education (SHARE.ca) for providing data. Anita","year":2015,"lang":"en","type":"article","venue":"","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shareholder; Voting; Corporate governance; Incentive; Power (physics); Association (psychology); Compensation (psychology); Complement (music)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004538076,0.0006648568,0.0009356011,0.007462144,0.004028726,0.002736811,0.001722022,0.00066325,0.1270398],"category_scores_gemma":[0.02576875,0.0003711104,0.0003731835,0.01372605,0.001158428,0.001995054,0.00212789,0.002009985,0.009037366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02947481,"about_ca_system_score_gemma":0.05936356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9722698,"about_ca_topic_score_gemma":0.9883375,"domain_scores_codex":[0.9927798,0.0008788547,0.0003252409,0.0004168302,0.00461578,0.000983474],"domain_scores_gemma":[0.9320081,0.008449189,0.003565252,0.003195776,0.04445428,0.008327397],"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":[0.00007087331,0.00001712192,0.009968114,0.0001323771,0.00001240292,0.0000659677,0.0007007387,0.0001101637,0.00007657767,0.007641174,0.9576804,0.02352407],"study_design_scores_gemma":[0.00002718857,0.00001367848,0.05297793,0.0001895916,0.00002091113,0.00004828566,0.002301045,0.0005755702,0.0002871884,0.001680835,0.9418095,0.00006840604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02126393,0.00517984,0.004738691,0.09651151,0.002473519,0.001124511,0.6072946,0.0007792515,0.2606342],"genre_scores_gemma":[0.3014131,0.008001982,0.03020453,0.008463664,0.0008875473,0.001557724,0.2362739,0.0008856777,0.4123118],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9722698,"threshold_uncertainty_score":0.4249904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2628934751709735,"score_gpt":0.3526980635531979,"score_spread":0.08980458838222438,"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."}}