{"id":"W1559162157","doi":"10.5073/jka.2014.443.055","title":"Effekte von Fruchtfolge und Bodenbearbeitung auf die Segetalflora im Ökologischen Landbau","year":2014,"lang":"en","type":"article","venue":"Federal Research Centre for Cultivated Plants (Julius Kühn-Institut)","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crop rotation; Tillage; Organic farming; Agronomy; Environmental science; No-till farming; Agriculture; Mulch-till; Crop; Agroforestry; Rotation (mathematics); Soil water; Mathematics; Biology; Soil fertility; Soil science; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00132409,0.000434628,0.0005423414,0.00007731048,0.002117533,0.0004944244,0.0008944444,0.0004255459,0.0003032017],"category_scores_gemma":[0.0008463361,0.0001996722,0.000254254,0.0004389157,0.0002976206,0.0003597646,0.0002701342,0.0007694968,0.0005709172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542356,"about_ca_system_score_gemma":0.00007811429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004095259,"about_ca_topic_score_gemma":0.00671119,"domain_scores_codex":[0.9955826,0.0004149434,0.0005250397,0.0009618583,0.0008682584,0.001647289],"domain_scores_gemma":[0.9972095,0.001364209,0.0001543485,0.0002605251,0.0004248863,0.0005865573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00178946,0.0008999022,0.02112953,0.0001663425,0.0007781561,0.00008779122,0.0005139519,0.0001368111,0.7833039,0.01436056,0.05452261,0.122311],"study_design_scores_gemma":[0.002696376,0.0006459748,0.0690528,0.0002342203,0.00008656437,0.00001516377,0.0002805806,0.003670429,0.01232695,0.005262522,0.9048257,0.0009026499],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642895,0.001630321,0.0003299082,0.01082537,0.0004753511,0.003476313,0.001109125,0.0005820297,0.01728212],"genre_scores_gemma":[0.9929525,0.0001211846,0.0003004013,0.0003336286,0.001016925,0.0002620544,0.001669995,0.000009503241,0.003333776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8503032,"threshold_uncertainty_score":0.9991816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04617308463840557,"score_gpt":0.3097364207553293,"score_spread":0.2635633361169237,"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."}}