{"id":"W2063194440","doi":"10.1002/cjce.20111","title":"Henry's law constant for hydrogen in high temperature water with dissolved lithium and boron","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Boron; Hydrogen; Lithium (medication); Henry's law; Thermodynamics; Chemistry; Constant (computer programming); Inorganic chemistry; Analytical Chemistry (journal); Materials science; Aqueous solution; Physical chemistry; Physics; Environmental chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008371179,0.0005195329,0.0003789355,0.0003505829,0.0002625543,0.0005171542,0.001065564,0.0004269716,0.002625304],"category_scores_gemma":[0.002909626,0.0003148048,0.0002270637,0.0004237859,0.000503522,0.001171147,0.0002777665,0.0012603,0.001030882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008844108,"about_ca_system_score_gemma":0.0005035736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727063,"about_ca_topic_score_gemma":0.002022221,"domain_scores_codex":[0.9993116,0.00009762499,0.00002060576,0.0001626276,0.0002958347,0.0001118202],"domain_scores_gemma":[0.9989447,0.0005660367,0.0001438053,0.00004689211,0.0002539099,0.00004463323],"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":[0.0003198543,0.00004806042,0.001144655,0.0003904102,0.00004519735,0.00009670567,0.0002400577,0.0008480605,0.975765,0.003195732,0.001881617,0.01602456],"study_design_scores_gemma":[0.00004107586,0.000303619,0.003506116,0.00002656583,0.00003279256,0.0001396841,0.0001284808,0.004227131,0.9744476,0.0008825074,0.01621621,0.00004827035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8390929,0.02515886,0.1043489,0.00165089,0.0009302328,0.0003802858,0.00221348,0.0008858023,0.02533864],"genre_scores_gemma":[0.9673204,0.004566736,0.01228283,0.0001900174,0.00005729018,0.0001445904,0.0006609167,0.00006927644,0.01470801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002727063,"threshold_uncertainty_score":0.008782566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004510119206089169,"score_gpt":0.1578395382334709,"score_spread":0.1533294190273817,"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."}}