{"id":"W7065206015","doi":"","title":"Development of High Performance Fuel Cell Membranes for the Automotive Industry","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Fuel cells; Membrane; Production (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003393131,0.000333955,0.00037531,0.0007988745,0.001411698,0.001768916,0.0009564551,0.00258287,0.03149854],"category_scores_gemma":[0.0036526,0.0002388492,0.0005116099,0.0003860758,0.0004504762,0.002078699,0.0011382,0.00106718,0.01307013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209686,"about_ca_system_score_gemma":0.003657587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413239,"about_ca_topic_score_gemma":0.002414294,"domain_scores_codex":[0.9986393,0.0002238652,0.0000555411,0.0001281555,0.0008008294,0.0001522494],"domain_scores_gemma":[0.9949904,0.0003212897,0.0002642232,0.0003347476,0.003600665,0.0004886261],"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":[0.0006262966,0.0005644951,0.004329637,0.002583088,0.00008261712,0.001400606,0.0004775724,0.0009289402,0.333467,0.01865971,0.1136233,0.5232568],"study_design_scores_gemma":[0.000104214,0.0006365935,0.005687711,0.0002479778,0.00004785214,0.0008725108,0.0003652692,0.001485266,0.2173485,0.003087139,0.770076,0.00004099761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3971769,0.06889048,0.05615237,0.06924842,0.02941415,0.003600942,0.002870646,0.001497811,0.3711483],"genre_scores_gemma":[0.4811802,0.03199149,0.05513779,0.004479069,0.002799588,0.0003819063,0.003092,0.0003240463,0.4206139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03149854,"threshold_uncertainty_score":0.105373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284243407314244,"score_gpt":0.2452534587002113,"score_spread":0.2324110246270689,"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."}}