{"id":"W326774523","doi":"10.3138/cjpe.025.003","title":"Constructing and Verifying Program Theory Using Source Documentation","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Computer science; A priori and a posteriori; Logic model; Management science; Program Design Language; Software engineering; Programming language; Epistemology; Engineering; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08932733,0.0009206587,0.000773494,0.009822683,0.002880613,0.007556533,0.002776207,0.00177446,0.00720928],"category_scores_gemma":[0.2590182,0.0009752394,0.001000325,0.00502435,0.003507881,0.008023189,0.005274602,0.002579483,0.001587067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006622567,"about_ca_system_score_gemma":0.02204739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154836,"about_ca_topic_score_gemma":0.008350936,"domain_scores_codex":[0.9132994,0.05093275,0.0080334,0.003185425,0.02348965,0.001059459],"domain_scores_gemma":[0.5540612,0.2338772,0.01838348,0.07195572,0.120433,0.001289357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000629308,0.00194032,0.01578761,0.003100476,0.0001806233,0.0008872964,0.01594966,0.05448838,0.009299829,0.2000778,0.01434247,0.6833163],"study_design_scores_gemma":[0.001037718,0.002051504,0.0111787,0.009289809,0.0004107869,0.0009843486,0.01583783,0.4472709,0.1350673,0.2186786,0.157657,0.0005354874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07365704,0.0002495231,0.8897608,0.001643938,0.0001543702,0.003098462,0.001231692,0.005336986,0.02486726],"genre_scores_gemma":[0.2366054,0.0002969206,0.7568535,0.0001349922,0.00002810066,0.001585213,0.001837979,0.0006550588,0.002002897],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08932733,"threshold_uncertainty_score":0.4724137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3169777432876522,"score_gpt":0.5515263442620003,"score_spread":0.2345486009743482,"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."}}