{"id":"W2512463988","doi":"10.1002/ev.20199","title":"Building Evaluation Capacity Through CLIPs: Communities of Learning, Inquiry, and Practice","year":2016,"lang":"en","type":"article","venue":"New Directions for Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"CLIPS; Context (archaeology); Work (physics); Community of practice; Medical education; Professional development; Higher education; Pedagogy; Knowledge management; Computer science; Sociology; Public relations; Psychology; Political science; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.08931211,0.000736178,0.0007385316,0.005123136,0.006891178,0.01451728,0.003440233,0.002640431,0.007440667],"category_scores_gemma":[0.104299,0.0006946943,0.0008111704,0.002216123,0.02695804,0.01635122,0.01934928,0.003219095,0.0008213714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009246946,"about_ca_system_score_gemma":0.02342612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004063401,"about_ca_topic_score_gemma":0.004599255,"domain_scores_codex":[0.8850632,0.09899224,0.001802306,0.002573375,0.008637002,0.002931939],"domain_scores_gemma":[0.8364749,0.1236131,0.004166293,0.01469523,0.01308276,0.007967575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002058944,0.001171238,0.009489201,0.0008384563,0.00008535632,0.0004120213,0.08412867,0.006040373,0.00124859,0.5821263,0.01482787,0.2994261],"study_design_scores_gemma":[0.000324463,0.0009390807,0.004748099,0.002484974,0.00008651006,0.0004525713,0.1067404,0.03103945,0.003636634,0.6922767,0.1570551,0.0002160155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2011511,0.00148648,0.4665452,0.0511254,0.000438787,0.004961348,0.0001340554,0.001271195,0.2728865],"genre_scores_gemma":[0.8337615,0.0004760404,0.157529,0.001170332,0.00007376228,0.001693991,0.0000744069,0.0001069273,0.00511397],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08931211,"threshold_uncertainty_score":0.4723332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5953867694134086,"score_gpt":0.5760182223031797,"score_spread":0.01936854711022895,"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."}}