{"id":"W4296665025","doi":"10.1002/cjce.24673","title":"Technology readiness level of gas hydrate technologies","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Clathrate hydrate; Natural gas; Commercialization; Emerging technologies; Process engineering; Work (physics); Petroleum engineering; Hydrate; Environmental science; Computer science; Nanotechnology; Chemistry; Materials science; Engineering; Business; Waste management; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.004212541,0.0008630522,0.0004828002,0.00448726,0.0009186618,0.005089877,0.00159541,0.001252789,0.008024066],"category_scores_gemma":[0.005569119,0.0002948441,0.0009833416,0.00182012,0.001489726,0.003491869,0.002170551,0.001982663,0.00365889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00341328,"about_ca_system_score_gemma":0.00323523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198544,"about_ca_topic_score_gemma":0.001152628,"domain_scores_codex":[0.99576,0.0008613964,0.000466634,0.0003764828,0.00185664,0.0006788553],"domain_scores_gemma":[0.9934016,0.001638113,0.001263006,0.0006716602,0.00266681,0.0003589377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003706253,0.0003869513,0.02420645,0.003794398,0.0001208241,0.001249881,0.001547713,0.01680839,0.09406632,0.4633375,0.01151204,0.382599],"study_design_scores_gemma":[0.00006314253,0.003399889,0.02819802,0.002227316,0.00031336,0.003341552,0.004700366,0.05000179,0.2795597,0.1106207,0.5171307,0.000443501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2673166,0.01191545,0.2822707,0.006378081,0.0004646668,0.001838045,0.003181059,0.003731516,0.4229039],"genre_scores_gemma":[0.8619202,0.006033082,0.1064028,0.000490541,0.0001042765,0.0007496758,0.002645762,0.0002212742,0.02143244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008024066,"threshold_uncertainty_score":0.02684319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521286711462922,"score_gpt":0.1859406860275668,"score_spread":0.1707278189129376,"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."}}