{"id":"W2949720109","doi":"10.82308/15545","title":"Board role and composition within the organization life cycle","year":2008,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Corporate governance; Selection (genetic algorithm); Business; Process management; Public relations; Management; Political science; Computer science; Economics","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":[0.003390207,0.0002984549,0.0002063593,0.002027045,0.00240984,0.005446898,0.0007085857,0.0006906893,0.01159008],"category_scores_gemma":[0.01029949,0.0002760518,0.0002508025,0.001840128,0.00278976,0.003306295,0.002352482,0.0006499491,0.001218757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01106569,"about_ca_system_score_gemma":0.009919971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04762085,"about_ca_topic_score_gemma":0.06193407,"domain_scores_codex":[0.9960765,0.001735958,0.0001429977,0.0003873454,0.0008339759,0.0008232338],"domain_scores_gemma":[0.9925966,0.002115838,0.001341334,0.0004665769,0.001960562,0.001519002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004704086,0.0003821703,0.1671124,0.0004811296,0.00008743626,0.0007393042,0.04056997,0.01118185,0.005561976,0.4479646,0.00637088,0.319078],"study_design_scores_gemma":[0.0000999995,0.0005000194,0.336115,0.0005484291,0.000107807,0.0003505477,0.05982629,0.01156505,0.00253569,0.09215029,0.4960652,0.0001357259],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6609608,0.002009923,0.0304394,0.003926558,0.0001447702,0.0004288682,0.000333021,0.0001613,0.3015955],"genre_scores_gemma":[0.9589677,0.000479933,0.004966284,0.0001159484,0.00001721447,0.00009333253,0.0001147798,0.00003468956,0.03521011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04762085,"threshold_uncertainty_score":0.09468734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148243934664133,"score_gpt":0.1776966445918346,"score_spread":0.1662142052451933,"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."}}