{"id":"W4366450272","doi":"10.3138/cjpe.022.009","title":"What an Eight-Year-Old Can Teach Us About Logic Modelling and Mainstreaming","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hindsight bias; Narrative; Process (computing); Mainstreaming; Computer science; Simplicity; Point (geometry); Management science; SWORD; Process management; Engineering ethics; Epistemology; Psychology; Engineering; Mathematics education; Cognitive psychology; Programming language; Mathematics; Special education; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.004706174,0.0001264086,0.0001632823,0.000368314,0.0001444701,0.0004004528,0.0003590576,0.00008522249,0.000003775958],"category_scores_gemma":[0.0004753308,0.0001199377,0.00003873523,0.0002847434,0.00005746711,0.001368622,0.00001661588,0.0002590497,6.463414e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003384034,"about_ca_system_score_gemma":0.0005205558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004213006,"about_ca_topic_score_gemma":0.004124705,"domain_scores_codex":[0.998567,0.0001698082,0.0003311065,0.0002030911,0.0003459164,0.0003830613],"domain_scores_gemma":[0.9985012,0.0001614011,0.0001996244,0.0002310178,0.000422178,0.0004845787],"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":[0.000003036988,0.00001006172,0.001766335,0.00000808121,0.00001213646,0.00004475188,0.001441101,0.2391156,0.00004153539,0.001870809,0.00000604313,0.7556805],"study_design_scores_gemma":[0.001521335,0.001409231,0.03526684,0.0004648016,0.0001129697,0.0007326773,0.002116084,0.8626885,0.001140545,0.09149472,0.002208536,0.000843739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2412407,0.001348763,0.7563674,0.0001296602,0.0006276983,0.000227134,5.387881e-7,0.00003724056,0.00002082924],"genre_scores_gemma":[0.4413739,0.00003544164,0.5584164,0.00005182337,0.0000968754,0.00000477159,0.000002130277,0.000008365149,0.00001030056],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7548367,"threshold_uncertainty_score":0.4890916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390533077375633,"score_gpt":0.3684927003154174,"score_spread":0.229439392577854,"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."}}