{"id":"W2052409021","doi":"10.1139/b05-118","title":"Computed tomography scanning for three-dimensional imaging and complexity analysis of developing root systems","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Botany","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Scanner; Computed tomography; Fractal dimension; Tomography; Root system; Root (linguistics); Crop; Mathematics; Nuclear medicine; Computer science; Fractal; Biology; Artificial intelligence; Botany; Medicine; Agronomy; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004782671,0.0004965535,0.0002745463,0.001915792,0.0003598668,0.0003888339,0.0004008774,0.0004348213,0.002002561],"category_scores_gemma":[0.0009486249,0.0003291926,0.0002843333,0.001476379,0.0004325653,0.0003757709,0.0004392716,0.0005715379,0.0003023671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005231141,"about_ca_system_score_gemma":0.0007085493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004316493,"about_ca_topic_score_gemma":0.01520593,"domain_scores_codex":[0.9996917,0.00006375945,0.00002663921,0.00006460923,0.0001281817,0.00002501752],"domain_scores_gemma":[0.9993326,0.0002122875,0.0001188946,0.0001389655,0.000147538,0.00004970216],"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":[0.0001199827,0.00002318509,0.006232121,0.0001611906,0.00002531913,0.0002781406,0.00005936543,0.0004218223,0.9708982,0.001044133,0.0004216801,0.0203148],"study_design_scores_gemma":[0.00009783666,0.0007294756,0.2807661,0.0001422642,0.0002475854,0.009144601,0.0002755926,0.0389989,0.6367642,0.002102182,0.03056849,0.0001626305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5069214,0.01292917,0.4690636,0.0006100964,0.0002769273,0.0005997557,0.002990856,0.0006273617,0.005980816],"genre_scores_gemma":[0.5173959,0.004618347,0.4746086,0.0001080103,0.00005715002,0.0004154964,0.001087921,0.0001027951,0.001605669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004316493,"threshold_uncertainty_score":0.008582711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246821884108419,"score_gpt":0.2216190509643349,"score_spread":0.1891508321232507,"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."}}