{"id":"W2339813830","doi":"10.14288/1.0041049","title":"DEVELOPMENT OF NATURAL GAS OCEAN TRANSPORTATION CHAIN BY MEANS OF NATURAL GAS HYDRATE (NGH)","year":2008,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Natural gas; Liquefied natural gas; Renewable natural gas; Compressed natural gas; Waste management; Environmental science; Supply chain; Commercialization; Engineering; Fuel gas; Business; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002614352,0.0002084885,0.0001094676,0.0003562968,0.0005144886,0.0003974444,0.0002913242,0.0002596626,0.002496524],"category_scores_gemma":[0.000151665,0.0001188274,0.0002481501,0.0003271714,0.0003063511,0.0007029568,0.0007731226,0.0002213636,0.000504186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004573964,"about_ca_system_score_gemma":0.001147563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004280263,"about_ca_topic_score_gemma":0.006042219,"domain_scores_codex":[0.999827,0.00002740824,0.000008024748,0.00003770211,0.00006512825,0.00003491627],"domain_scores_gemma":[0.9998885,0.00000891899,0.0000141997,0.00001444684,0.00004689767,0.0000270751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000390266,0.0003920578,0.02180749,0.0009062192,0.0000367482,0.001664693,0.0007358245,0.02142789,0.6654392,0.02390181,0.003323154,0.2599747],"study_design_scores_gemma":[0.000142415,0.003100468,0.02072294,0.00009687918,0.0000958446,0.001501543,0.001656835,0.05524418,0.7772356,0.002703007,0.1374208,0.00007941994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8821484,0.0007834015,0.06912291,0.0005148895,0.0001168416,0.0004423927,0.0001950625,0.0006136985,0.04606232],"genre_scores_gemma":[0.9352224,0.0008368081,0.04924594,0.00004413642,0.00001123679,0.0001016193,0.0002335755,0.00002200119,0.01428234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004280263,"threshold_uncertainty_score":0.008510709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004813425482666279,"score_gpt":0.142583208962718,"score_spread":0.1377697834800518,"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."}}