{"id":"W2143861872","doi":"10.1080/08327823.2010.11689783","title":"Visualization of Microwave Energy Distribution in a Multimode Microwave Cavity Using CoCl<sub>2</sub>on Gypsum Plates","year":2010,"lang":"en","type":"article","venue":"Journal of Microwave Power and Electromagnetic Energy","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; United States Agency for International Development","keywords":"Microwave; Materials science; Gypsum; Anhydrous; Cobalt; Microwave cavity; Crystal (programming language); Analytical Chemistry (journal); Composite material; Mineralogy; Chemistry; Metallurgy; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003784742,0.0004456784,0.0006509896,0.0004821566,0.00006463961,0.00005746675,0.0002101279,0.0003411476,0.00001008082],"category_scores_gemma":[0.00008204325,0.0004496304,0.0001933416,0.0004135257,0.0001146999,0.0001689744,0.00004331903,0.0005201984,8.721051e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568264,"about_ca_system_score_gemma":0.00008630585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001141679,"about_ca_topic_score_gemma":0.0003390562,"domain_scores_codex":[0.9977579,0.00008058456,0.001009733,0.0002929668,0.0002670983,0.0005917058],"domain_scores_gemma":[0.9988707,0.0001343881,0.0003093449,0.0002502826,0.0002385299,0.0001967691],"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":[0.00009049037,0.0001340922,0.0001092103,0.00006924239,0.00008982077,0.00004312583,0.0001785731,0.00394842,0.9881458,0.001268586,0.0004601321,0.005462492],"study_design_scores_gemma":[0.001145256,0.0005517499,0.0009962687,0.0001975834,0.0000672532,0.0005709145,0.00003211383,0.02579693,0.9688681,0.0005824919,0.0007583941,0.0004329042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139359,0.002203016,0.08297865,0.00002419828,0.0005104407,0.00006031234,0.00002311944,0.00003716585,0.0002272041],"genre_scores_gemma":[0.9968046,0.001092855,0.001751501,0.00004745751,0.0001585716,0.000002890851,0.00004418579,0.00008158066,0.00001637405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0828687,"threshold_uncertainty_score":0.9997956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004184075916189654,"score_gpt":0.2007132051285285,"score_spread":0.1965291292123388,"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."}}