{"id":"W4387156547","doi":"","title":"Impact of deep compaction on root growth and yield of potato","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Compaction; Yield (engineering); Root (linguistics); Soil compaction; Geology; Agronomy; Agricultural engineering; Environmental science; Materials science; Geotechnical engineering; Engineering; Composite material; Biology; Linguistics; Philosophy","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":[0.000188877,0.0002015834,0.0002168211,0.0001901113,0.00007606664,0.0003679037,0.0001217258,0.0002120319,0.001430397],"category_scores_gemma":[0.0006046753,0.0001088365,0.0001327784,0.0001799338,0.0001446495,0.0001694376,0.0003389809,0.0002228507,0.0001985871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002656691,"about_ca_system_score_gemma":0.0001158791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003515604,"about_ca_topic_score_gemma":0.004857613,"domain_scores_codex":[0.9998847,0.00002803658,0.000007245129,0.00003659779,0.00002201794,0.0000213392],"domain_scores_gemma":[0.9991516,0.0003656651,0.0001748149,0.00008432495,0.00008221037,0.0001413274],"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":[0.004888705,0.0002621638,0.2425979,0.000171072,0.0002224386,0.0004223729,0.0002129278,0.01116244,0.7068186,0.0001648274,0.0004397125,0.03263681],"study_design_scores_gemma":[0.00001467031,0.0004974644,0.9684568,0.000008675838,0.00005122957,0.0001070908,0.0001081982,0.003629287,0.02660592,0.0001192352,0.0003892343,0.00001231489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992163,0.0001569411,0.0001288,0.000009095567,0.000001283796,9.073253e-7,0.0002763142,0.000006834572,0.0002034092],"genre_scores_gemma":[0.9992787,0.00004549222,0.00007140773,0.000006403972,9.722745e-7,0.00000113429,0.0002815746,0.000007513037,0.0003068118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003515604,"threshold_uncertainty_score":0.006990254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297605491760008,"score_gpt":0.2517820118693103,"score_spread":0.2288059569517102,"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."}}