{"id":"W2064786233","doi":"10.3389/fpls.2015.00256","title":"Computed tomography scanning can monitor the effects of soil medium on root system development: an example of salt stress in corn","year":2015,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Australian Government; Natural Sciences and Engineering Research Council of Canada; Centre Sève; McGill University","keywords":"Sowing; Horticulture; Scanner; Computed tomography; Soil salinity; Root system; Zea mays; Soil water; Biology; Chemistry; Botany; Agronomy; Medicine; Computer science; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001650823,0.0002582025,0.0001961404,0.0005807229,0.0001746161,0.0002014065,0.0001374945,0.0002924898,0.0004696948],"category_scores_gemma":[0.0002487392,0.0001551762,0.0001754206,0.0004467879,0.0001764572,0.0002508785,0.0002369642,0.00028789,0.00006355678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001634321,"about_ca_system_score_gemma":0.00009019752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002681432,"about_ca_topic_score_gemma":0.004393713,"domain_scores_codex":[0.9999175,0.0000160921,0.000006988311,0.00002086434,0.00002308725,0.00001537253],"domain_scores_gemma":[0.9997761,0.00008027941,0.00004515721,0.00002115907,0.00004044178,0.00003688895],"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":[0.0001686049,0.00001377184,0.01010697,0.00002855108,0.000006826865,0.00008563113,0.00005376694,0.0001383832,0.9864135,0.0000230879,0.00001156218,0.002949299],"study_design_scores_gemma":[0.00001042573,0.000554845,0.6300604,0.00001233231,0.00004542917,0.000635316,0.0002334338,0.003460106,0.3641721,0.00009697446,0.0006866734,0.00003194233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967791,0.0004605484,0.002243438,0.00001606408,0.000002766624,0.00001048691,0.0001238766,0.00001527919,0.0003483871],"genre_scores_gemma":[0.9943984,0.0003546825,0.004636658,0.00001198808,0.000003000555,0.0000184127,0.0001467669,0.00001084665,0.000419285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002681432,"threshold_uncertainty_score":0.005331635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013841371913273,"score_gpt":0.2017370433713259,"score_spread":0.1815986296521932,"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."}}