{"id":"W1963966162","doi":"10.1029/2009je003444","title":"Initial analysis of air temperature and related data from the Phoenix MET station and their use in estimating turbulent heat fluxes","year":2010,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; York University","funders":"","keywords":"Phoenix; Daytime; Deck; Environmental science; Atmospheric sciences; Thermocouple; Turbulence; Meteorology; Diurnal cycle; Air temperature; Diurnal temperature variation; Climatology; Geology; Materials science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003531358,0.0005192932,0.000232259,0.0005739956,0.0004811326,0.0004770876,0.0002682042,0.0002817771,0.001297849],"category_scores_gemma":[0.0008943425,0.0001698389,0.0001790452,0.0007253989,0.0001693316,0.0003941993,0.0002261215,0.0005648917,0.0002689919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000398954,"about_ca_system_score_gemma":0.0004547425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009931466,"about_ca_topic_score_gemma":0.02109817,"domain_scores_codex":[0.9998457,0.00001437333,0.00000992541,0.00003965196,0.00006753451,0.00002274844],"domain_scores_gemma":[0.9996619,0.00007380898,0.00002774663,0.00002912146,0.0001870052,0.00002040746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00118563,0.0004679227,0.5838321,0.0003818895,0.00009914047,0.001138795,0.0008633689,0.04343839,0.2036912,0.001284155,0.004007919,0.1596095],"study_design_scores_gemma":[0.00006983978,0.0006050626,0.8519233,0.00006223252,0.00005524202,0.0002196966,0.0005303061,0.06172627,0.07119611,0.0004649974,0.01309819,0.00004866088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724368,0.00008256159,0.01577453,0.00007634606,0.00003269947,0.0002401583,0.00536945,0.0002312835,0.005756035],"genre_scores_gemma":[0.9665187,0.0001638253,0.02480586,0.00003436208,0.00003034396,0.0001450141,0.004988626,0.00006673486,0.003246611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009931466,"threshold_uncertainty_score":0.01974732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04655557982476895,"score_gpt":0.3316595288314595,"score_spread":0.2851039490066906,"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."}}