{"id":"W3031535673","doi":"10.3138/cjpe.61660","title":"A Transdisciplinary Model of Program Outcomes for Enhanced Evaluation Practice","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Taxonomy (biology); Management science; Context (archaeology); Psychology; Program evaluation; Cognition; Computer science; Knowledge management; Process management; Political science; Ecology; Business; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02192794,0.000182042,0.0004564393,0.0004480906,0.0002034671,0.0002464929,0.0005685971,0.0001159232,0.0005962843],"category_scores_gemma":[0.01392636,0.0001420269,0.0003179457,0.0008655114,0.0001035821,0.001341093,0.00001298924,0.0002105554,0.00001624623],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003075083,"about_ca_system_score_gemma":0.009650147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003765104,"about_ca_topic_score_gemma":0.001460189,"domain_scores_codex":[0.9931051,0.0007153139,0.001660081,0.0003228656,0.003876641,0.0003200122],"domain_scores_gemma":[0.9862105,0.0006718162,0.001615772,0.0002934867,0.01062339,0.0005850527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001721246,0.0001750773,0.0006567137,0.00002582671,0.00008635393,6.70479e-7,0.01079521,0.09600993,0.0005359018,0.0002918096,0.001393566,0.8898568],"study_design_scores_gemma":[0.002594423,0.002137423,0.003194181,0.00004162738,0.0005085341,0.000005687465,0.005649282,0.9694816,0.000757959,0.009220995,0.006237603,0.000170722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7731614,0.0008989807,0.1348249,0.0658646,0.001313766,0.01728148,0.0001030008,0.00005265678,0.006499202],"genre_scores_gemma":[0.9364724,0.00000849848,0.06210575,0.000577876,0.0001291014,0.0006191282,0.00003251037,0.00001676064,0.00003792903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8896861,"threshold_uncertainty_score":0.9959642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6071453782410605,"score_gpt":0.6059684492511166,"score_spread":0.001176928989943926,"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."}}