{"id":"W2110061520","doi":"10.1002/cjce.21693","title":"Prediction of induction time for natural gas components during gas hydrate formation in the presence of kinetic hydrate inhibitors in a flow mini‐loop apparatus","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shiraz University of Technology","keywords":"Hydrate; Clathrate hydrate; Chemistry; Natural gas; Kinetic energy; Thermodynamics; Methane; Flow (mathematics); Mechanics; Organic chemistry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004241327,0.0005390145,0.0005047144,0.0002479285,0.0002105965,0.0003339489,0.0005506864,0.0005427114,0.0004022371],"category_scores_gemma":[0.0007626361,0.0002635947,0.0004445261,0.0002282676,0.0002767937,0.0003822411,0.0001921119,0.000429097,0.0002122708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008185547,"about_ca_system_score_gemma":0.0003994299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031034,"about_ca_topic_score_gemma":0.002148866,"domain_scores_codex":[0.9998065,0.00002321709,0.000009222226,0.00005661267,0.00007982546,0.00002472696],"domain_scores_gemma":[0.999619,0.0002072007,0.0000727644,0.00002968068,0.00004316043,0.00002816904],"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":[0.0008432948,0.0001567806,0.009008992,0.0001833507,0.00002832162,0.00007712121,0.00007896664,0.07483233,0.9061607,0.0001816516,0.0001281402,0.008320468],"study_design_scores_gemma":[0.00002279119,0.0004868093,0.007550069,0.000004408185,0.00002082862,0.00002624651,0.00001955172,0.3162851,0.6752028,0.00006527198,0.0002931442,0.00002290912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584566,0.0002302327,0.03977755,0.00004133931,0.00001526954,0.00005110919,0.0003430163,0.0005632092,0.0005216621],"genre_scores_gemma":[0.9961686,0.0001000766,0.003343786,0.00000427621,0.000002032745,0.00002923966,0.0001308713,0.00001411779,0.0002069975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003031034,"threshold_uncertainty_score":0.006026804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00938299450289793,"score_gpt":0.1760481633851481,"score_spread":0.1666651688822502,"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."}}