{"id":"W1993617743","doi":"10.1016/j.tplants.2005.06.004","title":"Branching out with a CT scanner","year":2005,"lang":"en","type":"letter","venue":"Trends in Plant Science","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Scanner; Computed tomography; Medical physics; Nuclear medicine; High resolution; Computer science; Physics; Artificial intelligence; Radiology; Remote sensing; Medicine; Geology","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":[0.001852727,0.000610948,0.000813648,0.0007677623,0.002311125,0.002009674,0.001179199,0.02949491,0.01377296],"category_scores_gemma":[0.01809988,0.0007840527,0.001486452,0.0004705951,0.002107084,0.002648534,0.00127214,0.03328375,0.008041628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878032,"about_ca_system_score_gemma":0.001521596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004131601,"about_ca_topic_score_gemma":0.01327126,"domain_scores_codex":[0.9991486,0.0002214964,0.0001231003,0.000139616,0.0002354456,0.0001316546],"domain_scores_gemma":[0.9929926,0.004862323,0.0003019016,0.0005156494,0.000631618,0.0006959459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003039599,0.00006201599,0.002300247,0.00008803313,0.00003617295,0.02143967,0.0001825942,0.0003843114,0.001264622,0.00711765,0.9107786,0.05604214],"study_design_scores_gemma":[0.0002206303,0.000148797,0.003078599,0.0003499412,0.00007760298,0.04281598,0.0003820256,0.002394036,0.001281714,0.03954056,0.909618,0.00009217173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002804327,0.002780338,0.00462761,0.9397286,0.029035,0.00004562637,0.0001156562,0.0002151852,0.02064774],"genre_scores_gemma":[0.03158523,0.003914903,0.00986427,0.8476437,0.06035629,0.0001410247,0.0001758535,0.0002054035,0.0461133],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02949491,"threshold_uncertainty_score":0.04607517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101189701455052,"score_gpt":0.2198790634826286,"score_spread":0.2088671664680781,"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."}}