{"id":"W2975103401","doi":"","title":"Thermodynamic and structural anomalies of water nanodroplets","year":2019,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University; Memorial University of Newfoundland","funders":"","keywords":"Supercooling; Thermodynamics; Relaxation (psychology); Liquid water; Chemistry; Ambient pressure; Properties of water; Water model; Laplace pressure; Chemical physics; Molecular dynamics; Physics; Computational chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002883749,0.00006413952,0.0001244214,0.000123624,0.00005195226,0.00003308642,0.0001164735,0.00003981027,0.002487813],"category_scores_gemma":[0.00002397757,0.00004872892,0.00002322642,0.00005054692,0.0001603107,0.0002048564,0.00002589444,0.000133429,0.00009295792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001548532,"about_ca_system_score_gemma":0.00002410939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002728477,"about_ca_topic_score_gemma":0.001072363,"domain_scores_codex":[0.9991859,0.00007511178,0.0001942162,0.0001893175,0.00009440986,0.0002611103],"domain_scores_gemma":[0.9995181,0.0001905626,0.00002998499,0.0001796578,0.0000282954,0.00005341409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005920085,0.000006516831,0.8986951,0.0000151152,0.00001322695,0.00000225482,0.0004929146,0.003758813,0.02315329,0.00004536108,0.000001786504,0.07375648],"study_design_scores_gemma":[0.0002861184,0.0001060778,0.9316016,0.00001296117,0.000001401409,0.00001393224,0.0009830034,0.06046624,0.00476359,0.000410042,0.001251928,0.0001030854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770457,0.00002325464,7.128577e-8,0.0001037423,0.0001044764,0.0001383867,0.00001921535,0.000007552218,0.02255765],"genre_scores_gemma":[0.9990819,0.0001197965,0.0000952472,0.0000183702,0.000009601673,7.78275e-7,0.00001220576,0.000004037276,0.000658032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07365339,"threshold_uncertainty_score":0.9984241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245972042892088,"score_gpt":0.2545669396886724,"score_spread":0.2421072192597516,"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."}}