{"id":"W4388291897","doi":"10.1039/bk9781837670277-00347","title":"Non-uniform Microwave Heating of Heterogeneous Systems: How to Turn Problems into Opportunities","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Microwave-Assisted Synthesis and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Microwave; Process engineering; Microwave heating; Efficient energy use; Energy consumption; Materials science; Hydrogen; Cracking; Product (mathematics); Catalysis; Nanotechnology; Biochemical engineering; Environmental science; Computer science; Engineering; Chemistry; Telecommunications; Electrical engineering; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001845812,0.0005690303,0.0008530322,0.0002121103,0.00015398,0.0001471809,0.0005213127,0.0005640461,0.0006084948],"category_scores_gemma":[0.0000177788,0.000535494,0.0003491809,0.00004841653,0.00009835999,0.0000469654,0.0002781463,0.0003222374,0.000182253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649154,"about_ca_system_score_gemma":0.0001432303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002966628,"about_ca_topic_score_gemma":0.0003232346,"domain_scores_codex":[0.9977653,0.000005796332,0.0008566172,0.0006209647,0.0003747293,0.0003765803],"domain_scores_gemma":[0.9977739,0.0001370562,0.000578123,0.0009932491,0.0002790458,0.0002386163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003077048,0.0001237809,0.000009515426,0.01280751,0.001498817,0.00008046006,0.002211422,0.0004344465,0.8468038,0.06593663,0.02935877,0.04070401],"study_design_scores_gemma":[0.0003799263,0.000103889,8.849573e-7,0.0073978,0.000396865,0.0001636669,0.003714278,0.0009295114,0.3712886,0.002890091,0.6105366,0.002197833],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001579695,0.0003977388,0.0009296216,0.0004835861,0.0001189632,0.0006385826,0.0005058249,0.0002684785,0.9950775],"genre_scores_gemma":[0.06677441,0.0003363904,0.001357101,0.00006705314,0.0002743814,0.0002385043,0.0003331197,0.0002432857,0.9303758],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5811779,"threshold_uncertainty_score":0.9997097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05915278613551461,"score_gpt":0.2391187597896087,"score_spread":0.1799659736540941,"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."}}