{"id":"W2178772899","doi":"10.13031/trans.56.10374","title":"Effect of Soil Water Potential Threshold for Irrigation on Cranberry Yield and Water Productivity","year":2013,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Productivity; Yield (engineering); Irrigation; Agricultural engineering; Agronomy; Economics; Engineering; Materials science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001989922,0.00005643653,0.00008246514,0.000006937509,0.0001358975,0.00001515072,0.00009438132,0.00004265064,0.0002814119],"category_scores_gemma":[0.000006796424,0.00001382148,0.00007408718,0.00003638298,0.00006720966,0.00005709533,0.000007929988,0.00005789527,0.000004732063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003426074,"about_ca_system_score_gemma":0.000001258315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001878466,"about_ca_topic_score_gemma":0.00005363148,"domain_scores_codex":[0.9995248,0.00003122568,0.0000983996,0.0001112605,0.0001226213,0.0001116332],"domain_scores_gemma":[0.999775,0.000061331,0.00001892287,0.00005693326,0.00006724589,0.00002058229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005093795,0.00004741184,0.0002034039,0.00002206334,0.00001179377,8.266565e-9,0.00005464295,0.0002939816,0.9743527,0.000009160192,0.000035785,0.02491816],"study_design_scores_gemma":[0.0001178034,0.0004866767,0.02177214,0.000009767669,0.00001427842,4.988214e-7,0.00002002325,0.000285766,0.976619,0.0005552269,0.00008033709,0.0000384729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961465,0.000006260562,0.00006685655,0.003086945,0.00006491637,0.0004649437,0.00001150616,0.000005756061,0.0001462908],"genre_scores_gemma":[0.999121,0.000002983229,0.000008407479,0.00001528535,0.0000318768,0.00005497478,0.000004935521,7.145981e-7,0.0007597897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02487969,"threshold_uncertainty_score":0.3081263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184695488461089,"score_gpt":0.2315497931495371,"score_spread":0.2130802443034282,"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."}}