{"id":"W2933602898","doi":"10.1051/e3sconf/20198902008","title":"Monitoring gas hydrate formation with magnetic resonance imaging in a metallic core holder","year":2019,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Hydrate; Clathrate hydrate; Methane; Saturation (graph theory); Core sample; Mineralogy; Chemistry; Materials science; Nuclear magnetic resonance; Core (optical fiber); Composite material; Physics","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":[0.0002337158,0.0003221461,0.0002467442,0.0002219522,0.0001413768,0.0002227264,0.0003657007,0.0002850286,0.0008197735],"category_scores_gemma":[0.000318763,0.0002297274,0.0001249479,0.0001840578,0.0002467642,0.000228935,0.0002652435,0.0003220006,0.0003193634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002504223,"about_ca_system_score_gemma":0.0001729795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008652082,"about_ca_topic_score_gemma":0.001740013,"domain_scores_codex":[0.9998699,0.00001019558,0.000006569408,0.00004311851,0.00005145632,0.00001867303],"domain_scores_gemma":[0.9997501,0.00005174796,0.00006525629,0.00002720933,0.00008136308,0.00002422456],"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":[0.00003963023,0.000003256136,0.0001378748,0.00001207699,0.000001188851,0.00002485732,0.00001410812,0.00003832608,0.9991863,0.00001176469,0.00001378253,0.0005166577],"study_design_scores_gemma":[0.000005059551,0.0001275975,0.002737436,0.000002444873,0.000008252652,0.00007824741,0.00001991838,0.001699864,0.9946198,0.000008184932,0.0006881711,0.000004827393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763673,0.0001655982,0.02176764,0.000041511,0.00002304129,0.0000489204,0.0002232634,0.0004554456,0.0009072903],"genre_scores_gemma":[0.9560105,0.000284428,0.04066788,0.00004860846,0.00001328513,0.00008460579,0.0004328321,0.00009692981,0.002360915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008652082,"threshold_uncertainty_score":0.00274241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527429257701685,"score_gpt":0.2198302529466881,"score_spread":0.2045559603696712,"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."}}