{"id":"W4411948777","doi":"10.1109/access.2025.3585340","title":"Defining and Achieving Next-Generation Green Electronics: A Perspective on Best Practices Through the Lens of Hybrid Printed Electronics","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Green IT and Sustainability","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HORIZON EUROPE Digital, Industry and Space; Ontario Ministry of Research and Innovation; Horizon 2020 Framework Programme; Ministry of Economic Affairs","keywords":"Electronics; Lens (geology); Perspective (graphical); Computer science; Electrical engineering; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002421519,0.0001541189,0.0001803,0.00006831818,0.0001607295,0.0001384892,0.0002674043,0.00004620207,0.000004496885],"category_scores_gemma":[0.0002501899,0.0001254217,0.00004635383,0.0002622797,0.00005696815,0.000731712,0.00005115024,0.0003760605,0.000001436692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003146655,"about_ca_system_score_gemma":0.0001252951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009480147,"about_ca_topic_score_gemma":0.001323807,"domain_scores_codex":[0.9990671,0.00007332591,0.0002100333,0.0002359582,0.0001294417,0.0002841695],"domain_scores_gemma":[0.9991854,0.0002379842,0.0001174686,0.0002804099,0.0001623882,0.00001629738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007473929,0.0008392534,0.02971272,0.002250678,0.002402924,0.00003470321,0.01945264,0.1273395,0.09055433,0.5907871,0.002538495,0.1333404],"study_design_scores_gemma":[0.003336093,0.00162961,0.01367988,0.0006320161,0.001077465,0.00005744724,0.01664964,0.3851441,0.4729233,0.05785415,0.04496975,0.00204649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817071,0.005195554,0.003513821,0.001043294,0.0001455001,0.0003273238,0.000003516142,0.00008008404,0.007983807],"genre_scores_gemma":[0.9989912,0.0006288146,0.00007708168,0.0000979875,0.00005982153,0.0000295734,0.000003258472,0.00001655704,0.00009568829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5329329,"threshold_uncertainty_score":0.5114548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284746202632264,"score_gpt":0.3252615387017873,"score_spread":0.2824140766754647,"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."}}