{"id":"W2963407474","doi":"","title":"АВТОНОМНЫЙ ЭНЕРГОТЕХНОЛОГИЧЕСКИЙ КОМПЛЕКС ДЛЯ ПОЛУЧЕНИЯ ВОДОРОДА В КАЧЕСТВЕ ВТОРИЧНОГО ЭНЕРГОНОСИТЕЛЯ","year":2004,"lang":"ru","type":"article","venue":"Международный научный журнал Альтернативная энергетика и экология","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process engineering; Electric power; Wind power; Engineering; Environmental science; Electricity generation; Waste management; Electrical engineering; Automotive engineering; Mechanical engineering; Power (physics)","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002050647,0.00594003,0.004921306,0.003238155,0.002225738,0.001641517,0.006328705,0.004623512,0.003734214],"category_scores_gemma":[0.001850591,0.006744015,0.002430701,0.006113886,0.002346311,0.004032588,0.002525604,0.006819252,0.01572519],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005088399,"about_ca_system_score_gemma":0.001990068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008285719,"about_ca_topic_score_gemma":0.0006893708,"domain_scores_codex":[0.9759371,0.0005987568,0.006052102,0.005650197,0.004114071,0.007647811],"domain_scores_gemma":[0.9850109,0.000894996,0.00196682,0.008252079,0.001385164,0.002490051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001318235,0.005812373,0.003087573,0.0046664,0.006004732,0.003848202,0.01704552,0.4391375,0.1298645,0.1393176,0.1255519,0.1243454],"study_design_scores_gemma":[0.02484181,0.003335459,0.004847218,0.004506937,0.002497968,0.001736362,0.008347917,0.01394184,0.316074,0.07734386,0.5222639,0.0202627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.308292,0.0943815,0.2900673,0.02342898,0.05860156,0.0156419,0.004855269,0.04357904,0.1611525],"genre_scores_gemma":[0.9218566,0.00927953,0.03991389,0.002626667,0.005108238,0.001087403,0.0009857086,0.002453825,0.01668813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6135646,"threshold_uncertainty_score":0.9993949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00795249418368537,"score_gpt":0.2171302297931003,"score_spread":0.2091777356094149,"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."}}