{"id":"W2093844602","doi":"10.1016/j.ces.2004.08.040","title":"Determination of the intrinsic kinetics of CO<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si47.gif\" display=\"inline\" overflow=\"scroll\"><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> gas hydrate formation using in situ particle size analysis","year":2004,"lang":"lv","type":"article","venue":"Chemical Engineering Science","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":170,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinetics; Hydrate; Particle size; Reaction rate constant; Analytical Chemistry (journal); Mineralogy; Clathrate hydrate; Particle (ecology); Thermodynamics; Materials science; Chemistry; Mathematics; Physics; Physical chemistry; Chromatography; Geology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008737551,0.000262143,0.0001762461,0.0001518431,0.0002374849,0.0001857975,0.000821316,0.0004008492,0.004508502],"category_scores_gemma":[0.0007410285,0.0003527886,0.0003571363,0.001784218,0.0009484655,0.0007689449,0.000581863,0.0004662275,0.00008289251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004404292,"about_ca_system_score_gemma":0.0001682494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002759516,"about_ca_topic_score_gemma":0.00007522557,"domain_scores_codex":[0.9967111,0.0000510161,0.0008172102,0.0005555133,0.001095916,0.0007692145],"domain_scores_gemma":[0.998041,0.000328916,0.0006211927,0.0006893961,0.00003953378,0.0002798991],"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":[0.00008435276,0.0001413934,0.00003325966,0.0002874715,0.00009909222,0.00003722481,0.001478663,0.2165306,0.7298195,0.05057156,0.00007109131,0.0008458451],"study_design_scores_gemma":[0.0002831581,0.00009724167,0.0002709542,0.0001900371,0.0001829449,0.00003402165,0.00009559693,0.470498,0.5281391,0.00001490364,0.00001214173,0.0001819662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889016,0.0001613655,0.00278063,0.0001167666,0.0003411907,0.00003220584,0.00002881964,0.00003050312,0.007606962],"genre_scores_gemma":[0.9958105,0.0001278792,0.003709202,0.00009605839,0.0001030665,0.00004013028,0.00003832078,0.00005933559,0.00001550049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2539674,"threshold_uncertainty_score":0.9998924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093911414408049,"score_gpt":0.2218978431377693,"score_spread":0.2109587289936888,"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."}}