{"id":"W2331365311","doi":"10.1515/gps-2012-0012","title":"Profile of the research group “Chemical Micro Process Technology” (CMPT) at the Johannes Gutenberg University Mainz","year":2012,"lang":"en","type":"article","venue":"Green Processing and Synthesis","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Semtech (Canada)","funders":"Nanjing Tech University; Nelson Mandela Metropolitan University; East China University of Science and Technology; Zhejiang University; Hong Kong University of Science and Technology; Nanjing University; Strong","keywords":"Group (periodic table); Industrial chemistry; Chemical engineering; Engineering; Chemistry; Biochemical engineering; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0007796689,0.0001250248,0.0001432388,0.0001499,0.0003683658,0.00001443989,0.0003506526,0.000160167,0.00001646909],"category_scores_gemma":[0.0001117339,0.00008001061,0.00002806919,0.001261831,0.0006761669,0.0001477838,0.0001849018,0.0002968193,0.000004186144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028818,"about_ca_system_score_gemma":0.0000297454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000149581,"about_ca_topic_score_gemma":0.00000119028,"domain_scores_codex":[0.9991002,0.00004308387,0.0001760889,0.0001524235,0.0002028875,0.0003253363],"domain_scores_gemma":[0.9993747,0.00008408038,0.00006137978,0.0002443306,0.0002118779,0.00002356905],"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":[0.00003387995,0.00009680524,0.008188988,0.00071399,0.00005472147,0.000001250583,0.002033342,5.832679e-7,0.8575126,0.002109247,0.00494875,0.1243059],"study_design_scores_gemma":[0.00007693134,0.000009452881,0.00117142,0.0001720403,0.00002304592,0.00002495414,0.001774273,0.0001064053,0.9904164,0.0005541815,0.005543888,0.0001270012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920695,0.001407781,0.002163898,0.0007915201,0.00005359413,0.0002373133,0.00002239504,0.0001817576,0.003072219],"genre_scores_gemma":[0.9987345,0.00001968226,0.0004997721,0.00001624076,0.00003963322,0.00002071257,0.000003162515,0.00001998155,0.0006462674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1329038,"threshold_uncertainty_score":0.3262738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280717369866334,"score_gpt":0.2552004129902077,"score_spread":0.2323932392915443,"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."}}