{"id":"W2101892546","doi":"10.1002/ev.316","title":"Knowledge theories can inform evaluation practice: What can a complexity lens add?","year":2009,"lang":"en","type":"article","venue":"New Directions for Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Competence (human resources); Fidelity; Knowledge management; Computer science; Process (computing); Context (archaeology); Complex adaptive system; Paradigm shift; Psychology; Epistemology; Artificial intelligence; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3522426,0.003306118,0.006747243,0.03062395,0.0079228,0.04666286,0.007092794,0.01122383,0.01507694],"category_scores_gemma":[0.4993799,0.002246881,0.003868798,0.01305716,0.06751481,0.08432464,0.02345114,0.01721628,0.001830223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02655771,"about_ca_system_score_gemma":0.02743994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007586419,"about_ca_topic_score_gemma":0.0102052,"domain_scores_codex":[0.6143786,0.3359211,0.01381965,0.003515593,0.02908884,0.003276369],"domain_scores_gemma":[0.1858568,0.7434679,0.01043797,0.02107557,0.03487414,0.004287641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001804955,0.000189028,0.003326719,0.006996929,0.0003104134,0.0001841564,0.008726928,0.002308187,0.0001153044,0.7663354,0.0201533,0.1911732],"study_design_scores_gemma":[0.000087857,0.0001250516,0.001092166,0.01506418,0.0001476913,0.0001217967,0.009821593,0.003024222,0.0002517103,0.9247552,0.04537641,0.0001322275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008178153,0.1077695,0.2630899,0.5545104,0.006585613,0.001374525,0.0003544737,0.0006124529,0.05752506],"genre_scores_gemma":[0.4621877,0.07241422,0.394902,0.05125061,0.008398079,0.006358791,0.0002357275,0.0004527334,0.003800199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3522426,"threshold_uncertainty_score":0.7988002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3755486202484554,"score_gpt":0.565178999495196,"score_spread":0.1896303792467406,"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."}}