{"id":"W3102776382","doi":"10.5194/tc-15-2739-2021","title":"Impact of water vapor diffusion and latent heat on the effective thermal conductivity of snow","year":2021,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Takuvik Joint International Laboratory; Université Laval; Center for Northern Studies","funders":"Fondation BNP Paribas; Agence Nationale de la Recherche","keywords":"Thermal conduction; Snow; Thermal conductivity; Water vapor; Sublimation (psychology); Thermodynamics; Latent heat; Diffusion; Chemistry; Materials science; Meteorology; Physics; Organic 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":[0.0001813541,0.0001154964,0.0001911121,0.000003147324,0.0002078934,0.00001708336,0.00009989137,0.00003867526,0.002756637],"category_scores_gemma":[0.00002651204,0.00004604063,0.0001102716,0.0001207458,0.0001599977,0.00004775541,0.00003802112,0.0001111094,0.00001377658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005180027,"about_ca_system_score_gemma":0.00002246938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006258316,"about_ca_topic_score_gemma":0.003982202,"domain_scores_codex":[0.9992379,0.0001281341,0.0001411093,0.000155376,0.0001624852,0.0001750193],"domain_scores_gemma":[0.999112,0.0005067476,0.00004578221,0.0002293948,0.00007026123,0.00003581622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009747794,0.00007249859,0.9684654,0.00001635495,0.0001455234,0.000005004941,0.001310906,0.003128349,0.004173912,0.00003317727,0.0004477193,0.02210372],"study_design_scores_gemma":[0.0002169088,0.000252212,0.9953226,0.00002091608,0.00002450188,0.000004664495,0.0003886836,0.001190653,0.002063952,0.000157155,0.0002901144,0.00006765125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975865,0.0008030438,0.00001390168,0.0004522731,0.00013434,0.0002289007,0.00005236127,0.000006951347,0.000721739],"genre_scores_gemma":[0.9994935,0.00007550405,0.00001809826,0.00009056854,0.00004369122,0.000002896252,0.00001463103,0.000003202639,0.0002578667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02685723,"threshold_uncertainty_score":0.998155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675200181961428,"score_gpt":0.2226919015223664,"score_spread":0.2059398997027521,"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."}}