{"id":"W2004056927","doi":"10.1007/s13203-013-0024-z","title":"Microwave-assisted conversion of ethane to ethylene","year":2013,"lang":"en","type":"article","venue":"Applied Petrochemical Research","topic":"Microwave-Assisted Synthesis and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Science World at Telus World of Science; Natural Resources Canada","funders":"Government of Canada","keywords":"Microwave; Ethylene; Energy transformation; Materials science; Process engineering; Energy conversion efficiency; Process (computing); Catalysis; Thermal; Chemical engineering; Nuclear engineering; Chemistry; Optoelectronics; Computer science; Organic chemistry; Thermodynamics; Telecommunications","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005261676,0.0002245147,0.0003809591,0.0001924459,0.0001471646,0.00005924311,0.0007958706,0.0003299695,0.008138129],"category_scores_gemma":[0.0003130025,0.0002141253,0.0001294026,0.0007087084,0.0002976808,0.00005370138,0.000442961,0.000759179,0.002125429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693016,"about_ca_system_score_gemma":0.0001088874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001959844,"about_ca_topic_score_gemma":0.000005383746,"domain_scores_codex":[0.9971585,0.00004005078,0.0005093953,0.0006479356,0.000873869,0.0007702907],"domain_scores_gemma":[0.9971391,0.000888131,0.00009699467,0.0009017211,0.0004839256,0.0004901026],"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":[0.00006713004,0.0002373141,0.00007032524,0.0001986923,0.00003178347,9.593073e-7,0.0001220473,3.311825e-7,0.9705534,0.001444127,0.01660109,0.01067279],"study_design_scores_gemma":[0.0004127431,0.00001860132,0.0003320759,0.00005866625,0.00001047117,0.000003879659,0.0005988146,0.00001878929,0.9768957,0.0005416958,0.02089611,0.0002124698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8726571,0.00007969014,0.000313103,0.0007216425,0.00001226487,0.0003163823,0.00002337581,0.00006302357,0.1258134],"genre_scores_gemma":[0.9922029,0.00003188157,0.004081189,0.0001160055,0.0001014444,0.0004875991,0.00007310994,0.00004731283,0.002858571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1229548,"threshold_uncertainty_score":0.9986515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05804926670398849,"score_gpt":0.3300501457628528,"score_spread":0.2720008790588643,"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."}}