{"id":"W4206863229","doi":"","title":"Investigation of the degradation mechanisms of a variety of organic photovoltaic devices by combination of imaging techniques: the ISOS-3 inter-laboratory collaboration","year":2012,"lang":"en","type":"article","venue":"TNO Repository","topic":"Organic Electronics and Photovoltaics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agfa-Gevaert (Canada)","funders":"","keywords":"Photovoltaic system; Degradation (telecommunications); Variety (cybernetics); Engineering physics; Environmental science; Materials science; Nanotechnology; Aerospace engineering; Systems engineering; Process engineering; Computer science; Engineering; Electrical 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":[0.0004678583,0.0001140763,0.0001810505,0.00005815671,0.00005427045,0.000008746373,0.0001951489,0.00008202161,0.000005629725],"category_scores_gemma":[0.00003638516,0.00008732252,0.00004376779,0.0005822606,0.00009403515,0.0002424552,0.00003382693,0.0001318662,1.92343e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087734,"about_ca_system_score_gemma":0.0001218508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008203691,"about_ca_topic_score_gemma":0.00002597824,"domain_scores_codex":[0.9989529,0.0001081813,0.0004924068,0.00008420002,0.0002430161,0.0001192642],"domain_scores_gemma":[0.9987844,0.0000734503,0.0004627879,0.0003096394,0.0003456313,0.00002410819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004548786,0.00002862163,0.008193861,0.0001730863,0.00003266916,2.082466e-8,0.001004145,0.000009101747,0.9892038,0.0009859884,0.0003120855,0.00005214425],"study_design_scores_gemma":[0.0001113992,0.00004937775,0.001894181,0.00008356169,0.00006227502,0.000001815797,0.0003584475,0.001430767,0.9953276,0.000509424,0.00009612166,0.00007504618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905089,0.0009142216,0.007635434,0.00002891491,0.0002871417,0.0003805918,0.00001946911,0.00004738414,0.0001779689],"genre_scores_gemma":[0.9995393,0.00003150059,0.000320912,0.00001865338,0.00001817896,0.00001455465,0.00001376985,0.00002432405,0.00001885057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009030381,"threshold_uncertainty_score":0.3560909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003791442634476132,"score_gpt":0.1834843270797785,"score_spread":0.1796928844453023,"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."}}