{"id":"W1966858058","doi":"10.1021/jp104643p","title":"Observations of High-Density Ferroelectric Ordered Water in Kaolinite Trenches using Monte Carlo Simulations","year":2010,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry A","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Trench; Kaolinite; Monte Carlo method; Materials science; Nucleation; Ferroelectricity; Condensed matter physics; Mineralogy; Chemical physics; Geology; Nanotechnology; Chemistry; Physics; Thermodynamics; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008098254,0.00008891491,0.0001843516,0.00002841802,0.00003381084,0.000008181033,0.0001344748,0.00005666191,0.00001144462],"category_scores_gemma":[0.00004551674,0.00005541886,0.00006588231,0.0002219156,0.00003449629,0.00009328085,0.00001286798,0.0005006539,5.77754e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002278488,"about_ca_system_score_gemma":0.00002121748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006108093,"about_ca_topic_score_gemma":0.0000252337,"domain_scores_codex":[0.9994659,0.0000142471,0.0002320723,0.00004061665,0.000119897,0.0001273134],"domain_scores_gemma":[0.9995458,0.0001184722,0.00006162926,0.0001248267,0.0001106849,0.00003854698],"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":[0.00001122371,0.00003089806,0.00007860642,0.00001212327,0.00001879339,0.000001303043,0.0003322405,0.371134,0.628301,0.000001819732,0.000005145483,0.00007292447],"study_design_scores_gemma":[0.0002387779,0.000009199682,0.005119391,0.00001713968,0.00004428745,0.0000110741,0.00002620528,0.4240448,0.5701205,0.0003004735,0.000009283326,0.00005885057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997018,0.00001884633,0.0001013543,0.00005576761,0.00003861608,0.00002329327,0.000004711676,0.00001160995,0.00004398921],"genre_scores_gemma":[0.9996407,0.000003150873,0.00008734188,0.000005077869,0.0002346752,2.805471e-7,0.000001852331,0.000009971083,0.00001696257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05818045,"threshold_uncertainty_score":0.2259915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735211954669489,"score_gpt":0.2231050595687389,"score_spread":0.205752940022044,"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."}}