{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02790357,0.0001392817,0.000231896,0.000301101,0.0005167918,0.0001304024,0.0002078889,0.0000971628,0.001088128],"category_scores_gemma":[0.0269649,0.0000980987,0.00008998557,0.0005492824,0.0001645857,0.002025291,0.00005698586,0.0001096805,0.00003115267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002667743,"about_ca_system_score_gemma":0.0005723466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003949165,"about_ca_topic_score_gemma":0.0006101837,"domain_scores_codex":[0.9939329,0.00223033,0.0007634783,0.000311107,0.002580754,0.000181426],"domain_scores_gemma":[0.988035,0.006809541,0.0007450168,0.0004336888,0.003912688,0.00006411213],"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":[0.0001788885,0.0001123621,0.008914937,0.00001189592,0.00006578926,1.67323e-8,0.0106744,0.003148324,0.004252719,0.01105528,0.005279138,0.9563062],"study_design_scores_gemma":[0.009569176,0.001118329,0.06909404,0.000244745,0.0009758353,0.00003200299,0.02792457,0.194545,0.006115075,0.2463345,0.4434799,0.0005668887],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7530027,0.0004714587,0.2232267,0.006355595,0.001464907,0.001885313,0.00001505368,0.00007808533,0.01350021],"genre_scores_gemma":[0.9759446,0.0002613874,0.0222553,0.0001108557,0.0002174322,0.0002595844,0.00001503242,0.00001347229,0.0009223027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9557394,"threshold_uncertainty_score":0.999825,"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."}}