{"id":"W2143008070","doi":"10.1046/j.0028-646x.2001.00320.x","title":"Dry matter content as a measure of dry matter concentration in plants and their parts","year":2002,"lang":"en","type":"article","venue":"New Phytologist","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":240,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Herbaceous plant; Dry matter; Dry weight; Specific leaf area; Botany; Biology; Agronomy; Horticulture; Photosynthesis","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005689378,0.00009167893,0.0001292458,0.00001426893,0.00002470247,0.0000142732,0.00007269206,0.00006481338,0.001290818],"category_scores_gemma":[0.000003649673,0.00006968723,0.00002089998,0.00004530692,0.000126993,0.00009882077,0.00003635502,0.00007868603,0.0003391691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003317474,"about_ca_system_score_gemma":0.000002697471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009825912,"about_ca_topic_score_gemma":0.0007759652,"domain_scores_codex":[0.9993927,0.00003270641,0.0001657193,0.000166385,0.00009335904,0.0001491641],"domain_scores_gemma":[0.9997535,0.00002052116,0.00006192633,0.0001153083,0.000002389314,0.0000463474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001164502,0.00003472929,0.9943255,0.000003384956,0.000004394417,0.000005789754,0.000460112,0.0002280254,0.002159645,0.00001986825,0.001074584,0.001672387],"study_design_scores_gemma":[0.0005884178,0.00003681,0.987797,0.00003432937,0.000004398215,0.00001355316,0.00008050386,0.007549938,0.001714545,0.0005876829,0.001450016,0.0001427804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787315,0.0001302405,0.000149617,0.0005953628,0.00005304489,0.0001279264,0.00001886128,0.000008429442,0.02018509],"genre_scores_gemma":[0.998274,0.00004038251,0.00008792731,0.0004755653,0.000009368818,0.000005369796,0.00001040534,0.000004629455,0.001092377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01954255,"threshold_uncertainty_score":0.9996222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438693757045436,"score_gpt":0.2032384015440421,"score_spread":0.1788514639735877,"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."}}