{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002177524,0.0002089545,0.0003820643,0.00006493489,0.0001198302,0.00008858546,0.0006411303,0.0002085591,0.0001622563],"category_scores_gemma":[0.001286945,0.0001018418,0.0001997151,0.0002376638,0.0002018713,0.00005661124,0.0005369841,0.0004095858,0.00000593277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004168599,"about_ca_system_score_gemma":0.00004082291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105146,"about_ca_topic_score_gemma":0.005084662,"domain_scores_codex":[0.9966249,0.001945873,0.0003679136,0.0004172842,0.0003962606,0.0002477572],"domain_scores_gemma":[0.9953547,0.002816227,0.0004431294,0.0003556253,0.0008746997,0.0001555951],"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":[0.0002180883,0.001658835,0.2278931,0.0004629495,0.0002705297,0.000003980437,0.002874578,0.0001522448,0.5826391,0.01827412,0.0007984558,0.164754],"study_design_scores_gemma":[0.0002125118,0.00000934745,0.844204,0.001148122,0.00002560146,0.000008939718,0.0000482341,0.004326967,0.1473832,0.002190577,0.0001509306,0.0002915603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871247,0.0001954052,0.0004890052,0.0014343,0.00003792924,0.0002542861,0.0001500522,0.00004106476,0.01027327],"genre_scores_gemma":[0.9988059,0.0002011936,0.0004641683,0.00001044101,0.00001607354,0.00001029787,0.0003203819,0.000002637476,0.0001688877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6163109,"threshold_uncertainty_score":0.9960744,"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."}}