{"id":"W576830728","doi":"","title":"PROGRAMS HURDLE GAP TO BUILD INFRASTRUCTURE FOR HYDROGEN","year":2004,"lang":"en","type":"article","venue":"ENR","topic":"Nursing Education, Practice, and Leadership","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Hydrogen vehicle; Fuel cells; Transport engineering; Retrofitting; Business; Government (linguistics); Hydrogen fuel; Hydrogen economy; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001742144,0.000127772,0.0001171331,0.00006915804,0.0001700899,0.00008697543,0.0001694041,0.00009392989,0.00004199496],"category_scores_gemma":[0.00015908,0.0001222211,0.00006244636,0.0001938904,0.00003651116,0.0001657273,0.000004301793,0.0001443011,0.0001115452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428649,"about_ca_system_score_gemma":0.00006783167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008216028,"about_ca_topic_score_gemma":0.00003275405,"domain_scores_codex":[0.9991047,0.00002854337,0.0001377587,0.0002480045,0.0001523037,0.0003286942],"domain_scores_gemma":[0.9994358,0.00005500155,0.00005865589,0.000260886,0.00005592192,0.0001337245],"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":[0.00191934,0.001974609,0.0156124,0.0005497919,0.0002015339,0.000008208675,0.1762476,0.002946435,0.03771163,0.01301452,0.2335931,0.5162209],"study_design_scores_gemma":[0.001208823,0.0006739694,0.00509017,0.000122193,0.00008889324,0.00003651376,0.00448783,0.00001671701,0.03527817,0.03840687,0.9141817,0.0004081117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8979285,0.0002908437,0.002105391,0.08911596,0.004693768,0.001398715,0.000007840576,0.0003278098,0.004131202],"genre_scores_gemma":[0.9792732,5.280418e-7,0.01583621,0.002401788,0.001533674,0.00007984512,0.00003914703,0.00004299367,0.0007926013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6805887,"threshold_uncertainty_score":0.4984034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295529238493256,"score_gpt":0.3238719710222528,"score_spread":0.2943190471729272,"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."}}