{"id":"W4242326784","doi":"10.1016/s1464-2859(13)70104-4","title":"Azure orders 175 kW Ballard ClearGen power plant for China","year":2013,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; China; Engineering; Corporation; Fuel cells; Variety (cybernetics); Electrical engineering; Power (physics); Telecommunications; Business; Computer science; Political science; Finance","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001343534,0.0002694287,0.0002869561,0.00005945516,0.00006794051,0.00010381,0.00021644,0.0002741054,0.01431557],"category_scores_gemma":[0.00001273973,0.0002314496,0.000118743,0.00006641814,0.00002981504,0.00003803341,0.00004258564,0.0001817579,0.005479562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003114647,"about_ca_system_score_gemma":0.00001039141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006455061,"about_ca_topic_score_gemma":0.000002365275,"domain_scores_codex":[0.9987814,0.00002218686,0.0003001769,0.000250353,0.0001424181,0.0005034972],"domain_scores_gemma":[0.9994629,0.00004680688,0.000043107,0.0002645862,0.00004094211,0.0001416635],"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":[0.00002526432,0.00004389205,0.000006800296,0.001099234,0.00009624245,0.00001115753,0.0002623978,0.009934176,0.03889597,0.00006633918,0.9494686,0.00008990511],"study_design_scores_gemma":[0.0005568007,0.00007582028,0.0001164866,0.00003965752,0.00002225951,0.000006334018,0.00005140387,0.001618435,0.008846745,0.0001996808,0.9881071,0.0003593095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2714729,0.02165329,0.002033804,0.006990307,0.02063704,0.006544514,0.0009386994,0.003584924,0.6661445],"genre_scores_gemma":[0.9761884,0.003939288,0.0069433,0.0005796761,0.0005589707,0.0002255435,0.0001826137,0.000309409,0.01107279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7047155,"threshold_uncertainty_score":0.9952948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003162700199968557,"score_gpt":0.1540555192636858,"score_spread":0.1508928190637172,"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."}}