{"id":"W7097718555","doi":"","title":"Clarkson Centre SME Toolkit #1: Optimizing Board Skills and Meeting Effectiveness","year":2013,"lang":"en","type":"article","venue":"TSpace","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Focus (optics); Data collection; Focus group; 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":[0.01882373,0.0006530729,0.0006182018,0.001706938,0.00378694,0.004060036,0.001924661,0.0007811002,0.008237239],"category_scores_gemma":[0.05088852,0.0006047722,0.0003364723,0.00202152,0.00243654,0.003109412,0.005705315,0.001427472,0.001354843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01798515,"about_ca_system_score_gemma":0.029846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1683414,"about_ca_topic_score_gemma":0.371891,"domain_scores_codex":[0.9847105,0.008499581,0.0005957253,0.0008038976,0.003583728,0.001806596],"domain_scores_gemma":[0.9556257,0.0178453,0.003680463,0.003040711,0.009722717,0.01008514],"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":[0.001714286,0.003958108,0.09535202,0.001559459,0.0000842321,0.0003658413,0.05819172,0.006272305,0.006944725,0.0175382,0.08208551,0.7259337],"study_design_scores_gemma":[0.001585625,0.009284163,0.536858,0.001019548,0.0002834032,0.0004960342,0.1283415,0.02406617,0.02720308,0.02423259,0.2457931,0.0008368402],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8593997,0.001044944,0.02430012,0.007954755,0.0001434252,0.004969613,0.002031394,0.002723967,0.0974321],"genre_scores_gemma":[0.9425454,0.0003091065,0.04326969,0.0003899334,0.00001959896,0.001601299,0.0007187855,0.0002094617,0.01093678],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1683414,"threshold_uncertainty_score":0.3347231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802485888972871,"score_gpt":0.3307210490034169,"score_spread":0.3126961901136882,"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."}}