{"id":"W4417271051","doi":"10.1080/07373937.2025.2543623","title":"Sustainable drying systems for electrode materials: Enabling the future of clean energy technologies","year":2025,"lang":"en","type":"article","venue":"Drying Technology","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Clean energy; Electrode; Sustainable energy; Energy consumption; Energy (signal processing)","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":[0.001373791,0.0005186929,0.0005499374,0.000640285,0.0008017573,0.002576415,0.0007737022,0.002099563,0.00669816],"category_scores_gemma":[0.0008828695,0.0003289196,0.0003688582,0.0007230028,0.001261409,0.005127313,0.001648467,0.00283989,0.0028744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017365,"about_ca_system_score_gemma":0.00103697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005417577,"about_ca_topic_score_gemma":0.001221735,"domain_scores_codex":[0.999375,0.0001041663,0.00002450139,0.00007937912,0.0003321717,0.00008480145],"domain_scores_gemma":[0.9995878,0.000174835,0.00003275845,0.00002924303,0.0001346603,0.00004072511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000135747,0.0002047775,0.0004942253,0.004687156,0.00005260858,0.0006505452,0.0007676324,0.002600411,0.2227977,0.3475751,0.05119757,0.3688365],"study_design_scores_gemma":[0.0000238934,0.0002068947,0.0003600604,0.000514995,0.00002491473,0.0005876006,0.0004563562,0.004005046,0.0854617,0.07834611,0.829963,0.00004953411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0333939,0.7175605,0.08465311,0.05998667,0.00607917,0.0001260237,0.000290093,0.0007205763,0.09719002],"genre_scores_gemma":[0.2101367,0.6593698,0.07060646,0.008428336,0.002993515,0.0001044174,0.0003695941,0.0002831553,0.04770809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00669816,"threshold_uncertainty_score":0.02240759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00473302858371578,"score_gpt":0.2098043146100769,"score_spread":0.2050712860263612,"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."}}