{"id":"W2323554123","doi":"10.7763/jocet.2015.v3.158","title":"Analysis on Technology Competitiveness in Fuel Cell Field","year":2014,"lang":"en","type":"article","venue":"Journal of Clean Energy Technologies","topic":"Metallurgy and Material Science","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Field (mathematics); Fuel cells; Environmental science; Business; Engineering; Mathematics; Chemical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008169475,0.0001263077,0.0004240499,0.001081023,0.00005158582,0.00004173137,0.000860282,0.0002084119,0.0002037895],"category_scores_gemma":[0.0004518727,0.00009314995,0.0001003103,0.001124783,0.0002233791,0.0001520385,0.000144899,0.0001864046,0.0000158853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003525446,"about_ca_system_score_gemma":0.00002656596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003951527,"about_ca_topic_score_gemma":0.0001568599,"domain_scores_codex":[0.9987682,0.00008120922,0.0004304421,0.0002019717,0.0002592757,0.0002589206],"domain_scores_gemma":[0.9989951,0.0001710809,0.0003866556,0.0003302813,0.0000872348,0.00002968398],"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":[0.0003837333,0.0005138242,0.009870104,0.00007001001,0.00008114964,0.0001777364,0.000114091,0.009392495,0.3092272,0.2618641,0.000156763,0.4081488],"study_design_scores_gemma":[0.0002727049,0.0005458792,0.001167052,0.00003993985,0.00003589248,0.00001253359,0.0004987005,0.000144808,0.9682745,0.01805671,0.01081537,0.0001358934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947696,0.00008943403,0.04181589,0.002187347,0.0005322165,0.00002889193,0.000001277084,0.000182738,0.007466182],"genre_scores_gemma":[0.9977389,0.0001865186,0.001807221,0.0001357515,0.00002715992,0.000002679204,2.482823e-7,0.000005431674,0.00009611237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6590474,"threshold_uncertainty_score":0.3798545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006757285548858107,"score_gpt":0.2260601433083443,"score_spread":0.2193028577594862,"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."}}