{"id":"W4234571784","doi":"10.1016/s1464-2859(21)00057-2","title":"Ballard, Chart target heavy-duty LH<sub>2</sub> solutions","year":2021,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Nursing Education, Practice, and Leadership","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heavy duty; Truck; Memorandum; Engineering; Chart; Memorandum of understanding; Waste management; Transport engineering; Automotive engineering; Aeronautics; Systems 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000701409,0.0003008647,0.0003087799,0.0001154191,0.0005244366,0.0002274977,0.0002617985,0.0002402147,0.002592278],"category_scores_gemma":[0.0003330535,0.0003518793,0.0001942398,0.0003654357,0.0001496195,0.0001293463,0.00002967384,0.0005995965,0.006170021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936352,"about_ca_system_score_gemma":0.000236448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007631977,"about_ca_topic_score_gemma":0.00004380148,"domain_scores_codex":[0.9971804,0.0004977909,0.0004062643,0.000638324,0.0004469684,0.0008302266],"domain_scores_gemma":[0.9982344,0.0003553203,0.0001770402,0.0006801719,0.0002788359,0.0002742659],"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":[0.0001815488,0.000860474,0.0002395665,0.000243976,0.00004666768,0.00003312475,0.003930551,0.00005399391,0.09346509,0.0003131193,0.8990582,0.001573713],"study_design_scores_gemma":[0.0004552961,0.00006118978,0.0007424114,0.00008039621,0.00008512244,0.00005922111,0.00242707,0.00004224215,0.1977948,0.0006362356,0.7972472,0.0003689046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1213354,0.02389272,0.002237627,0.7146376,0.04422876,0.001271519,0.0001672198,0.001277272,0.09095185],"genre_scores_gemma":[0.9692361,0.0003985625,0.005381375,0.01246783,0.003424176,0.00006101538,0.0003491783,0.0001732594,0.008508438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8479007,"threshold_uncertainty_score":0.9998933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193345443683139,"score_gpt":0.2539937234000044,"score_spread":0.232060268963173,"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."}}