{"id":"W4416880243","doi":"10.37665/smveban37267","title":"Application of High Volume Manufacturing Practices to Fuel Cell Manufacturing","year":2008,"lang":"","type":"article","venue":"SMTA International","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Commercialization; Advanced manufacturing; Manufacturing cost; Fuel cells; Automation; Digital manufacturing; Production (economics); Manufacturing process","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002726073,0.0006095966,0.0002067169,0.002101403,0.001100884,0.003001438,0.00137734,0.0007352252,0.00370395],"category_scores_gemma":[0.00363085,0.0004427837,0.0005862,0.001146552,0.0007090596,0.001288481,0.001319644,0.0008318242,0.001805047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593458,"about_ca_system_score_gemma":0.001204227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141648,"about_ca_topic_score_gemma":0.002265875,"domain_scores_codex":[0.995957,0.001009456,0.0002889985,0.0004226286,0.002202611,0.0001192836],"domain_scores_gemma":[0.9940754,0.001382394,0.0008089254,0.001812948,0.001788396,0.0001319017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001081506,0.0003290731,0.00506427,0.001144907,0.00007980865,0.0007832184,0.001443812,0.01649546,0.2403624,0.03667172,0.004842593,0.6926746],"study_design_scores_gemma":[0.00005167367,0.001120621,0.00897286,0.0005387262,0.0001235734,0.003154057,0.0009337285,0.0223604,0.5724033,0.0241821,0.3660348,0.0001241855],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1605665,0.01125422,0.7233488,0.003029247,0.0008273717,0.0009931102,0.0002815404,0.002020506,0.09767871],"genre_scores_gemma":[0.4564716,0.005094326,0.5224857,0.0004074836,0.0002277371,0.0002302763,0.0003736947,0.000237143,0.01447198],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00370395,"threshold_uncertainty_score":0.01441705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021748634487683,"score_gpt":0.2231833405133044,"score_spread":0.2129658541684276,"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."}}