{"id":"W4238137510","doi":"10.1016/s1464-2859(19)30375-x","title":"HTEC wins funding for next-gen hydrogen fuel delivery system","year":2019,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Corporation; Engineering; Hydrogen fuel; Productivity; Management; Delivery system; Scale (ratio); Hydrogen production; Business; Fuel cells; Hydrogen; Engineering management; Finance; Economics; Economic growth; Marketing; Chemistry; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001578087,0.000569739,0.0003851921,0.00104059,0.001647543,0.002484152,0.0009317181,0.001872349,0.1428675],"category_scores_gemma":[0.002467126,0.0002816509,0.0003145459,0.0005411637,0.0003968694,0.000777762,0.001263176,0.002044676,0.04181714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004603798,"about_ca_system_score_gemma":0.02089692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07859406,"about_ca_topic_score_gemma":0.1254479,"domain_scores_codex":[0.9973586,0.0001044083,0.00003127228,0.0001327198,0.001843946,0.0005290494],"domain_scores_gemma":[0.9957899,0.0002023966,0.00007132705,0.0001583332,0.002353451,0.001424519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002391275,0.0001186822,0.0007941779,0.0000785611,0.0000124261,0.0002435852,0.000026452,0.0001616821,0.001666158,0.00733889,0.93858,0.05074025],"study_design_scores_gemma":[0.00007982448,0.00008704571,0.00170109,0.00003171872,0.000006627929,0.0001360816,0.00005128923,0.0008456359,0.001804475,0.0003467225,0.9949005,0.000008982824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01407172,0.002625363,0.002905061,0.0296643,0.01051505,0.0005614377,0.01440233,0.002810119,0.9224445],"genre_scores_gemma":[0.03405808,0.00108437,0.00217849,0.002522999,0.0005902554,0.00008137391,0.01079371,0.0003495638,0.9483412],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1428675,"threshold_uncertainty_score":0.4779394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640864809478436,"score_gpt":0.2024976093333982,"score_spread":0.1860889612386139,"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."}}