{"id":"W4391578779","doi":"10.3390/gases4010001","title":"Natural Gas Matters: LNG and India’s Quest for Clean Energy","year":2024,"lang":"en","type":"article","venue":"Gases","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Natural gas; Liquefied natural gas; Clean energy; Natural (archaeology); Environmental science; Clean-up; Natural resource economics; Waste management; Economics; Engineering; Environmental protection; Geography; Chemistry; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001450815,0.000123334,0.0001299572,0.00009452714,0.0001034742,0.0001598008,0.000113493,0.00007071262,0.00009123378],"category_scores_gemma":[0.0001271635,0.0001045999,0.00007194656,0.0001442469,0.0001053986,0.0001611827,0.0000759868,0.0001028679,0.00001479879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000687361,"about_ca_system_score_gemma":0.0000600684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003566863,"about_ca_topic_score_gemma":0.001951259,"domain_scores_codex":[0.9990156,0.00005518391,0.0001296197,0.0002950438,0.0001355725,0.0003689647],"domain_scores_gemma":[0.9994391,0.0002307846,0.00001045093,0.0001646796,0.00005888678,0.00009608795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009651867,0.00003428032,0.0001489638,0.0002730493,0.0000590588,0.0001261466,0.000172581,0.000140007,0.000317416,0.7720309,0.01579049,0.2108106],"study_design_scores_gemma":[0.0003026909,0.0001397502,0.0006917568,0.00007582784,0.00002005051,0.00006880522,0.0006012364,0.001874745,0.003562068,0.078058,0.9143741,0.000231016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9026843,0.01755976,0.0006916194,0.03172537,0.002253395,0.0005630432,0.0001653244,0.001200502,0.04315662],"genre_scores_gemma":[0.9945992,0.0001072268,0.0001256498,0.0007866046,0.0002353937,0.00005286181,0.00005253169,0.00002227915,0.004018276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8985836,"threshold_uncertainty_score":0.5392054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070524496180987,"score_gpt":0.2783892286104342,"score_spread":0.2676839836486243,"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."}}