{"id":"W2804724295","doi":"10.3390/wevj8020422","title":"Measurements of GDL Properties for Quality Control in Fuel Cell Mass Production Line","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Proton exchange membrane fuel cell; Quality assurance; Fuel cells; Production (economics); Industrialisation; Quality (philosophy); Process (computing); Manufacturing engineering; Process engineering; Engineering; Computer science; Operations management; Chemical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002012169,0.0006309496,0.0003703192,0.001741143,0.0007832182,0.001293908,0.000977247,0.0008071074,0.001444042],"category_scores_gemma":[0.003026987,0.0003221035,0.0002559984,0.001117834,0.0006310868,0.0009160095,0.0006147012,0.0008464952,0.001070271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176584,"about_ca_system_score_gemma":0.0006978947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008634539,"about_ca_topic_score_gemma":0.0117143,"domain_scores_codex":[0.9986101,0.0002096302,0.00006842805,0.0002047831,0.0008300108,0.00007705628],"domain_scores_gemma":[0.9982332,0.000361579,0.0002118382,0.0002533552,0.0008789491,0.00006112897],"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":[0.0003693298,0.00009877011,0.01923051,0.0001811272,0.00002640067,0.00009741201,0.0003340998,0.001241032,0.9330345,0.0005081797,0.001411225,0.04346737],"study_design_scores_gemma":[0.00002414657,0.0001599252,0.01426775,0.00002584865,0.00002121092,0.00008713559,0.0001440398,0.006187534,0.9712896,0.0002090831,0.007557784,0.00002581931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7732506,0.004422091,0.195475,0.0007991632,0.0002445086,0.0005587584,0.005111119,0.004704558,0.01543423],"genre_scores_gemma":[0.9371139,0.0009258742,0.05687613,0.0003358751,0.00002023796,0.0001471012,0.00133537,0.0003376048,0.002907999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008634539,"threshold_uncertainty_score":0.01716858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936812515425028,"score_gpt":0.2280697086571181,"score_spread":0.1987015835028679,"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."}}