{"id":"W2076685875","doi":"10.1016/s0165-022x(01)00238-x","title":"A differential vapor-pressure equipment for investigations of biopolymer interactions","year":2002,"lang":"en","type":"article","venue":"Journal of Biochemical and Biophysical Methods","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Novo Nordisk Fonden; Statens Naturvidenskabelige Forskningsrad","keywords":"Biopolymer; Vapor pressure; Gasket; Membrane; Adsorption; Chemistry; Aqueous solution; Solvent; Chemical engineering; Isothermal process; Bar (unit); Titration; Analytical Chemistry (journal); Materials science; Chemical physics; Polymer; Thermodynamics; Chromatography; Organic chemistry; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006718353,0.0007924617,0.0007994518,0.001373527,0.001053111,0.0004018448,0.001891154,0.0008255545,0.005566925],"category_scores_gemma":[0.0008438472,0.0007346551,0.0003662643,0.001022572,0.0004960754,0.0009026672,0.0009164586,0.002674924,0.001995208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004873382,"about_ca_system_score_gemma":0.0006719499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004349285,"about_ca_topic_score_gemma":0.001055378,"domain_scores_codex":[0.9992257,0.00008752382,0.00005511904,0.0001718376,0.0003906336,0.00006919011],"domain_scores_gemma":[0.9989443,0.0005180613,0.00004594299,0.0002179636,0.0001620031,0.0001117393],"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":[0.00004237823,0.00005868694,0.0004235043,0.000100387,0.000007947739,0.00004074273,0.00003262613,0.000025327,0.9909616,0.0004071615,0.0005485863,0.007351058],"study_design_scores_gemma":[0.00002460881,0.0001643092,0.003619641,0.00001153528,0.00003166048,0.0005182451,0.00001839084,0.001935592,0.983074,0.0001340493,0.01045476,0.0000132327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4177394,0.003482292,0.5549906,0.0006191122,0.000686028,0.001681511,0.005799676,0.006629008,0.008372406],"genre_scores_gemma":[0.4643894,0.005046668,0.4983893,0.0006033945,0.0003805721,0.004977508,0.008773438,0.0009506089,0.01648911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005566925,"threshold_uncertainty_score":0.01862323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094705363702353,"score_gpt":0.3382007562410985,"score_spread":0.297253702604075,"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."}}