{"id":"W2138339143","doi":"10.1109/leos.2006.279201","title":"Enabling Materials for Printed Electronics","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xerox (Canada)","funders":"","keywords":"Electronics; Transistor; Computer science; Electronic circuit; Printed electronics; Engineering; Electrical engineering; Voltage","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":[0.0004368821,0.0008086598,0.0003602022,0.0008183472,0.000723295,0.001640375,0.0008531096,0.00132446,0.02479219],"category_scores_gemma":[0.0009118405,0.0003280009,0.0003340183,0.000502921,0.0005325929,0.002393124,0.001772318,0.001931971,0.01198612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004663588,"about_ca_system_score_gemma":0.0005417748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001712564,"about_ca_topic_score_gemma":0.0002715525,"domain_scores_codex":[0.9995193,0.00004778844,0.00002159788,0.00004826458,0.0002838821,0.00007912369],"domain_scores_gemma":[0.9997699,0.0000503087,0.00002793763,0.00004545142,0.0000695405,0.00003695957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006410725,0.00009646241,0.0002058491,0.00125645,0.00002180149,0.0007646169,0.0002442652,0.001281383,0.1574528,0.5751439,0.05495981,0.2085085],"study_design_scores_gemma":[0.00002402942,0.00008488765,0.0001919965,0.0001812886,0.00001263598,0.00065519,0.00005145231,0.001040116,0.07288943,0.04910999,0.8757336,0.00002547152],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02571446,0.1037161,0.212648,0.01250967,0.01118159,0.0005043966,0.001658528,0.004386401,0.627681],"genre_scores_gemma":[0.2982455,0.1197366,0.3124629,0.003999534,0.0037135,0.001098957,0.002159153,0.0007514715,0.2578323],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02479219,"threshold_uncertainty_score":0.08293813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009485688187225089,"score_gpt":0.2160576648835264,"score_spread":0.2065719766963013,"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."}}