{"id":"W2915726267","doi":"10.2172/1134127","title":"Next Generation Hydrogen Station Composite Data Products [Slides]","year":2014,"lang":"en","type":"report","venue":"","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Energy Efficiency; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Quarter (Canadian coin); Composite number; Hydrogen; Computer science; Database; Chemistry; Geography; Algorithm","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":[0.0006157379,0.0007002568,0.0003148543,0.001586908,0.0006884099,0.001488574,0.0008539594,0.0004650526,0.1684733],"category_scores_gemma":[0.001455293,0.0004101788,0.000364673,0.002316031,0.0001709347,0.001225919,0.0006196647,0.0008811472,0.07281166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013625,"about_ca_system_score_gemma":0.002818859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01915109,"about_ca_topic_score_gemma":0.02560914,"domain_scores_codex":[0.9994255,0.00001765912,0.00001454224,0.00003616635,0.0004582517,0.00004788212],"domain_scores_gemma":[0.9986645,0.00008739278,0.00007728171,0.00007910775,0.0009923902,0.00009931215],"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":[0.0001296925,0.00006943635,0.0008377742,0.000122543,0.000009223685,0.00002500533,0.00001413886,0.0005480876,0.002041908,0.0009067303,0.9530997,0.04219573],"study_design_scores_gemma":[0.00003833122,0.0001228776,0.006643129,0.00005115088,0.00001331828,0.00004698419,0.00005119041,0.0006326265,0.007646869,0.0007418774,0.9839886,0.00002309001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.00811127,0.0009783891,0.007366933,0.001442486,0.002499174,0.001613168,0.3782148,0.004699637,0.5950742],"genre_scores_gemma":[0.02118198,0.001886228,0.01224947,0.0004566257,0.0003931815,0.0006883516,0.3733228,0.001163388,0.588658],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1684733,"threshold_uncertainty_score":0.5635992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1445523092037596,"score_gpt":0.3061743524454504,"score_spread":0.1616220432416908,"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."}}