{"id":"W7094101528","doi":"","title":"NEBRASKA WATER AND ENERGY FLUX MEASUREMENT,\\nMODELING, AND RESEARCH NETWORK (NEBFLUX)","year":2010,"lang":"","type":"article","venue":"Insecta mundi","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microclimate; Biosphere; Energy flux; Water vapor; Ecosystem; Flux (metallurgy); Vegetation (pathology); Water cycle","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001542952,0.0008789566,0.0007333834,0.001138293,0.0007378915,0.001137828,0.001855377,0.0006835493,0.008187945],"category_scores_gemma":[0.002725286,0.0005843571,0.000473626,0.001791416,0.0002693446,0.002177224,0.001155365,0.0009375361,0.002187325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479923,"about_ca_system_score_gemma":0.002877922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1581166,"about_ca_topic_score_gemma":0.151938,"domain_scores_codex":[0.9994681,0.0001039573,0.00003508352,0.0001385791,0.0001989369,0.00005533917],"domain_scores_gemma":[0.9987624,0.0003936177,0.0001372085,0.0002333705,0.0003520266,0.0001213956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005843546,0.0003007369,0.04132658,0.0007725908,0.0002523168,0.0001684089,0.0002531729,0.07182977,0.005768143,0.02280426,0.7137898,0.1421498],"study_design_scores_gemma":[0.0004107338,0.0001042534,0.02231686,0.0001558233,0.0001102214,0.00005913205,0.0001212935,0.5007907,0.005424405,0.009400576,0.4609958,0.0001102572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.04667232,0.0009556367,0.2082038,0.001735267,0.0006562516,0.0007745627,0.6160839,0.05800233,0.06691595],"genre_scores_gemma":[0.1623709,0.000841248,0.2259864,0.0004219514,0.000129644,0.001874635,0.5900814,0.003092497,0.01520139],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1581166,"threshold_uncertainty_score":0.3143926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049680780581479,"score_gpt":0.2448983676689563,"score_spread":0.2144015598631415,"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."}}