{"id":"W4399632252","doi":"10.1145/3643916.3644397","title":"Innovating Coding: Evaluating the Impact of Innovative Thinking in Programming","year":2024,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Creativity; Coding (social sciences); Software development; Computer science; Software; Software engineering; Field (mathematics); Software development process; Knowledge management; Management science; Engineering; Sociology; Programming language; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01359664,0.0008597919,0.0004437472,0.002484187,0.0007672923,0.002527887,0.001372264,0.001306138,0.001831804],"category_scores_gemma":[0.1317233,0.000274804,0.001107288,0.001248276,0.003039684,0.003588654,0.003405663,0.002064653,0.0003650098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328003,"about_ca_system_score_gemma":0.001262661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000660069,"about_ca_topic_score_gemma":0.0006715613,"domain_scores_codex":[0.9887441,0.005721353,0.0009838355,0.0008345265,0.003343418,0.000372672],"domain_scores_gemma":[0.7910905,0.1761608,0.0146292,0.006811702,0.006600731,0.004706996],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01462877,0.01902423,0.3033472,0.002607781,0.001146073,0.0003948823,0.03296456,0.02100833,0.02143833,0.01288558,0.002277684,0.5682766],"study_design_scores_gemma":[0.004410578,0.08752649,0.6669697,0.001878379,0.002368611,0.0012545,0.02753446,0.08668354,0.04077478,0.06840246,0.01152224,0.0006744124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891683,0.000242286,0.004797165,0.0001240697,0.00004349549,0.0004965807,0.00005878859,0.00004858084,0.005020726],"genre_scores_gemma":[0.9850599,0.0002448975,0.01260964,0.00008086667,0.00003328397,0.0007956165,0.0001477777,0.00003740163,0.000990711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9864033,"threshold_uncertainty_score":0.07190675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06321483981379075,"score_gpt":0.4079645710634363,"score_spread":0.3447497312496456,"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."}}