{"id":"W2322958162","doi":"10.1021/je500591q","title":"Accelerated Hydrate Crystal Growth in the Presence of Low Dosage Additives Known as Kinetic Hydrate Inhibitors","year":2014,"lang":"en","type":"article","venue":"Journal of Chemical & Engineering Data","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrate; Clathrate hydrate; Chemistry; Flow assurance; Nucleation; Kinetic energy; Hydrocarbon; Crystal growth; Chemical engineering; Organic chemistry; Crystallography","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":[],"consensus_categories":[],"category_scores_codex":[0.0008385323,0.0001789264,0.0002876425,0.00006600376,0.00001955583,0.00003853183,0.001194277,0.00009370747,0.0003128236],"category_scores_gemma":[0.0006105462,0.0001165061,0.00005890612,0.0004410476,0.0001212558,0.0004434268,0.0003583351,0.000545086,0.00002108748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003790175,"about_ca_system_score_gemma":0.00001457761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003694813,"about_ca_topic_score_gemma":5.498755e-7,"domain_scores_codex":[0.9983839,0.00008463392,0.0005819436,0.0002209033,0.0004525655,0.0002760794],"domain_scores_gemma":[0.99887,0.0003194411,0.0002678342,0.0003997489,0.00002177096,0.0001212197],"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":[0.00004757731,0.0001424533,0.0003456435,0.00005337,0.00003291084,0.00003259591,0.0003931489,0.02101293,0.9758306,0.00005877789,0.001527374,0.0005225919],"study_design_scores_gemma":[0.002043815,0.0004479265,0.003821,0.00089319,0.0001080267,0.0002460976,0.0001063777,0.1689925,0.8136715,0.0009591738,0.008019174,0.0006911511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980479,0.000138617,0.0003876903,0.0002084323,0.0001529575,0.0001017825,0.00002482421,0.000009520723,0.0009282584],"genre_scores_gemma":[0.9989654,0.00006590565,0.0007091887,0.00004284079,0.0001499081,0.000001903914,0.00002879488,0.00001680254,0.00001926807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621591,"threshold_uncertainty_score":0.4750981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089821211979623,"score_gpt":0.2188272408702013,"score_spread":0.207929028750405,"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."}}