{"id":"W2112890525","doi":"10.1145/1985404.1985425","title":"VisCad","year":2011,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Visualization; clone (Java method); Computer science; Cloning (programming); Data visualization; Data mining; Programming language; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007502642,0.00002521505,0.00002291464,0.0000371008,0.00001193078,0.00001771826,0.0004705338,0.00001136374,0.0001398118],"category_scores_gemma":[0.00006354316,0.00002035113,0.00001081111,0.0001362562,0.000006373828,0.0001326038,0.0001252991,0.00003625036,0.0005588671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005931539,"about_ca_system_score_gemma":0.000009852093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002075792,"about_ca_topic_score_gemma":4.927288e-7,"domain_scores_codex":[0.9996698,0.000004329935,0.00003118673,0.00009132299,0.00009245858,0.0001108525],"domain_scores_gemma":[0.9996243,0.00005189488,0.000002807493,0.000263471,0.00001583846,0.00004170118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001961837,0.00008926576,0.05188185,0.00001083223,0.00001726293,0.00007302583,0.002109493,0.000009448853,0.0008466199,0.803975,0.01842249,0.1225628],"study_design_scores_gemma":[0.0003766539,0.0002008174,0.8452513,0.00001088421,0.000001337676,0.00005285658,0.0000168806,0.03282312,0.07851774,0.01651323,0.02574771,0.0004874697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009003266,0.00001334397,0.9521351,0.00005789918,0.0001150947,0.00002154701,2.530331e-8,0.00045593,0.0381978],"genre_scores_gemma":[0.8279927,7.840518e-7,0.1704614,0.00005404477,0.00001098998,0.00000300445,2.723792e-8,0.000002343132,0.001474725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8189894,"threshold_uncertainty_score":0.7183293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04177068418181956,"score_gpt":0.2523657556931306,"score_spread":0.2105950715113111,"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."}}