{"id":"W2036310289","doi":"10.1115/detc2004-57013","title":"Diagrammatic Visualisation of Early Product Development Information","year":2004,"lang":"en","type":"article","venue":"","topic":"Design Education and Practice","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Diagrammatic reasoning; Schematic; Computer science; New product development; Visualization; Product design; Product (mathematics); Representation (politics); Human–computer interaction; Design science research; Data visualization; Management science; Data science; Information system; Engineering; Artificial intelligence","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":[0.0001191145,0.00003846995,0.00003886682,0.00005802315,0.0000138546,0.00001848524,0.00003100464,0.00001284857,0.00006926028],"category_scores_gemma":[0.00004511143,0.00003618611,0.000007132667,0.0001074141,0.000004159318,0.0006412998,0.000002533691,0.00002773494,0.0002417069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000040962,"about_ca_system_score_gemma":0.00004488567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001816675,"about_ca_topic_score_gemma":0.000003282575,"domain_scores_codex":[0.999668,0.000005497779,0.000165978,0.00002359237,0.0000848672,0.00005206558],"domain_scores_gemma":[0.9998346,0.00001449756,0.00002815015,0.00006276246,0.000040239,0.00001973817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002759635,0.0002299925,0.002000493,0.001016202,0.0001423064,4.221572e-7,0.08789147,0.06318408,0.01136527,0.1087631,0.003272595,0.7221065],"study_design_scores_gemma":[0.00132339,0.00009672906,0.1890555,0.00006287155,0.00003480871,0.00001143997,0.001837992,0.002102009,0.6410835,0.004248831,0.1594965,0.0006464252],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.686713,0.00002944918,0.2839404,0.0001892015,0.0003540302,0.0002345217,2.765679e-7,0.0002207438,0.02831841],"genre_scores_gemma":[0.9908961,0.000004588795,0.008959606,0.00003026882,0.00001317401,0.0000117373,0.000009593928,0.000003446705,0.00007145569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.72146,"threshold_uncertainty_score":0.3106734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500768390112346,"score_gpt":0.240503111980674,"score_spread":0.2254954280795505,"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."}}