{"id":"W1975692370","doi":"10.3390/f3020332","title":"Carbon Content of Tree Tissues: A Synthesis","year":2012,"lang":"en","type":"article","venue":"Forests","topic":"Forest ecology and management","field":"Environmental Science","cited_by":503,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Twig; Biology; Interspecific competition; Biome; Botany; Temperate climate; Biomass (ecology); Woody plant; Temperate forest; Ecology; Ecosystem","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":[0.0001497556,0.00006032261,0.00009119795,0.00001779751,0.00002290582,0.000001660203,0.0001119454,0.00003665546,0.00122991],"category_scores_gemma":[0.00004608776,0.00005014005,0.0000298869,0.00005738592,0.0001121076,0.00007205778,0.000108599,0.00002911844,0.0003576675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002894365,"about_ca_system_score_gemma":0.000001414712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004381326,"about_ca_topic_score_gemma":0.004626749,"domain_scores_codex":[0.9994779,0.00002026896,0.0001035996,0.00008536932,0.0001063969,0.000206413],"domain_scores_gemma":[0.9997044,0.00003523728,0.00004512576,0.0001556863,0.000001869746,0.00005772723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001194441,0.0001053114,0.9890206,0.000007518241,0.00001314985,0.000001879487,0.0002183944,0.00003667392,0.0003348693,0.005384297,0.002094975,0.002770417],"study_design_scores_gemma":[0.00008403372,0.00004018354,0.9877504,0.000005954899,0.00001834467,0.00000137899,0.00003427624,0.00007376227,0.003434931,0.0004675285,0.008030015,0.00005916115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331836,0.00006127018,0.00005668402,0.00008739167,0.000149578,0.0001220475,0.000001165036,0.00001694203,0.06632133],"genre_scores_gemma":[0.9977935,0.000004706576,0.0001902028,0.00003806861,0.00002250685,0.00003377854,8.324411e-7,0.000005483205,0.001910951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06460987,"threshold_uncertainty_score":0.9996831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944684610478374,"score_gpt":0.2213182195209583,"score_spread":0.2018713734161746,"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."}}