{"id":"W2955946683","doi":"10.2172/828306","title":"REDUCING ULTRA-CLEAN TRANSPORTATION FUEL COSTS WITH HYMELT HYDROGEN","year":2004,"lang":"en","type":"report","venue":"","topic":"Coal Combustion and Slurry Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Procurement; Work (physics); Atmospheric pressure; Environmental science; Waste management; Engineering; Transport engineering; Nuclear engineering; Business; Mechanical engineering; Meteorology; Geography; Archaeology","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":[0.0002817806,0.0001618008,0.0001360112,0.0004045619,0.0002664296,0.0005306218,0.0005578665,0.0002892055,0.009620895],"category_scores_gemma":[0.000382839,0.00007823791,0.0002218811,0.0004361288,0.0001163674,0.0008662434,0.0004146215,0.0003472016,0.001627969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003246267,"about_ca_system_score_gemma":0.0006050956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520071,"about_ca_topic_score_gemma":0.004695265,"domain_scores_codex":[0.9997537,0.00002354059,0.000007114722,0.00001944628,0.0001559114,0.00004033114],"domain_scores_gemma":[0.9998696,0.00002390447,0.00002231461,0.00002463968,0.00004551551,0.0000140849],"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":[0.001570521,0.0009963746,0.01098823,0.0008225585,0.00009200378,0.0004374119,0.0002804602,0.004303944,0.3502089,0.01105732,0.02062436,0.5986179],"study_design_scores_gemma":[0.00006094771,0.0008090705,0.01315486,0.00003451101,0.00005297078,0.0002940508,0.0002904998,0.002330086,0.8938399,0.001350918,0.0877645,0.00001762173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8293745,0.004088708,0.05693113,0.002266938,0.0003881482,0.0004988962,0.00214462,0.001166397,0.1031407],"genre_scores_gemma":[0.9025113,0.003050712,0.03206025,0.0002408845,0.00005606599,0.0001688504,0.002324663,0.0002141812,0.05937305],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009620895,"threshold_uncertainty_score":0.03218514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731556641572073,"score_gpt":0.239336752425822,"score_spread":0.2220211860101012,"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."}}