{"id":"W2761886967","doi":"10.2134/agronj2017.04.0208","title":"Wheat Yield Affected by Soil Temperature and Water under Mulching in Dryland","year":2017,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Special Fund for Agro-scientific Research in the Public Interest; China Agricultural Research System; National Natural Science Foundation of China","keywords":"Sowing; Agronomy; Mulch; Environmental science; Soil water; Dryland farming; Plastic film; Evapotranspiration; Growing season; Water-use efficiency; Plastic mulch; Irrigation; Agriculture; Soil science; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001076036,0.0003406366,0.0002957408,0.0002072138,0.0002044582,0.0002388387,0.0001624728,0.0001330724,0.0005622539],"category_scores_gemma":[0.0001211855,0.0001980086,0.0003457123,0.0002191372,0.000258838,0.0002337334,0.0002264765,0.0002491365,0.00008472576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006126933,"about_ca_system_score_gemma":0.0001985093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006846238,"about_ca_topic_score_gemma":0.01530732,"domain_scores_codex":[0.999917,0.000008927932,0.000006539962,0.0000333702,0.000009965121,0.00002408579],"domain_scores_gemma":[0.9998257,0.00002031671,0.0000524892,0.00001394563,0.00001949782,0.00006811834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004649442,0.0009385957,0.3748956,0.000108112,0.0002382251,0.0004169074,0.0004664589,0.00127883,0.6067157,0.0001045305,0.0002923693,0.009895245],"study_design_scores_gemma":[0.00001720361,0.0003477269,0.9934897,0.000001144628,0.00002521865,0.00002943392,0.00007603798,0.0007727095,0.005102449,0.00001710726,0.0001160277,0.000005178038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997839,0.00001898446,0.00004937691,0.000003809834,0.000002122839,0.000002277061,0.00005116354,0.000002781909,0.00008541586],"genre_scores_gemma":[0.9995071,0.00002277298,0.00007052632,0.00001541797,0.000002076532,0.000007191585,0.0001641033,0.000002018091,0.0002089237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006846238,"threshold_uncertainty_score":0.01361281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381505306917346,"score_gpt":0.2143079243294223,"score_spread":0.2004928712602489,"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."}}