{"id":"W7033268441","doi":"","title":"Product configurators pave the way for mass customization","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Male Reproductive Health Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mass customization; Product (mathematics); Personalization; Key (lock)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001847101,0.0001401048,0.0002344284,0.00004449779,0.001474318,0.000005648903,0.00009238192,0.000075285,0.0007909402],"category_scores_gemma":[0.003098482,0.00008879897,0.00004715472,0.0002168084,0.00009329738,0.00005942774,0.00002216966,0.0003154222,0.000207418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303347,"about_ca_system_score_gemma":0.0002874871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009877398,"about_ca_topic_score_gemma":0.00001590211,"domain_scores_codex":[0.9978315,0.0006649558,0.0004021069,0.0003899591,0.0001866948,0.0005248365],"domain_scores_gemma":[0.9980199,0.0007006295,0.0002154625,0.0004981017,0.0004959584,0.00006998923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001820537,0.0001021374,0.03755467,0.001458317,0.0001249977,0.000001323968,0.008421599,0.00002708223,0.01456402,0.2304756,0.6997075,0.007380709],"study_design_scores_gemma":[0.0006273714,0.00004366305,0.004696003,0.00004338146,0.00002658084,0.000001156309,0.002405267,0.00004431764,0.002603056,0.00689813,0.9824734,0.0001376173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04340279,0.001040076,0.01275171,0.04516567,0.006413307,0.01488499,0.00007539123,0.0003851713,0.8758809],"genre_scores_gemma":[0.9603286,0.000160923,0.004652163,0.002049502,0.001149259,0.002745567,0.00001300237,0.00005468477,0.02884634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9169258,"threshold_uncertainty_score":0.9998257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07592138742568036,"score_gpt":0.4073750517572772,"score_spread":0.3314536643315968,"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."}}