{"id":"W2998534206","doi":"10.3390/app10010406","title":"A Time Correlation Based Clustering Method for a Design of a Transformable Product","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Department of Education of Hebei Province; National Natural Science Foundation of China","keywords":"Product (mathematics); Computer science; Function (biology); Process (computing); Product design; Cluster analysis; Similarity (geometry); Data mining; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005827142,0.001126479,0.0007653357,0.002445901,0.0008372276,0.0008352614,0.001287963,0.0008278681,0.00426551],"category_scores_gemma":[0.001776888,0.0005390697,0.001382753,0.002223199,0.0004984877,0.001246152,0.0007008858,0.0007340718,0.001212258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442843,"about_ca_system_score_gemma":0.001470488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055519,"about_ca_topic_score_gemma":0.01225889,"domain_scores_codex":[0.9990357,0.000123256,0.00005550181,0.0003229505,0.0004005738,0.00006192944],"domain_scores_gemma":[0.9992137,0.0001643696,0.00009720463,0.00009841209,0.0003945304,0.00003175698],"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":[0.0001319595,0.0001143712,0.001386689,0.0003044729,0.0001007951,0.0001582632,0.000378838,0.3667831,0.03348913,0.02510338,0.005682395,0.5663666],"study_design_scores_gemma":[0.00001073648,0.00004364423,0.0005530317,0.0000106975,0.00003068922,0.00009028981,0.00006226252,0.9838177,0.006184947,0.004749367,0.004416145,0.00003047166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004248821,0.00007268826,0.9937434,0.00003603478,0.00001758426,0.00004338114,0.00004015031,0.0004926505,0.001305273],"genre_scores_gemma":[0.1419141,0.000264583,0.8503551,0.00008150565,0.00002651557,0.0002252852,0.0004239155,0.0002596922,0.006449248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01055519,"threshold_uncertainty_score":0.02098745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04004722297537425,"score_gpt":0.2399257451470242,"score_spread":0.1998785221716499,"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."}}