{"id":"W1804701345","doi":"10.1139/cjb-2013-0314","title":"Combined effects of rising [CO<sub>2</sub>] and temperature on boreal forests: growth, physiology and limitations","year":2014,"lang":"en","type":"article","venue":"Botany","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Taiga; Biomass (ecology); Climate change; Boreal; Biology; Productivity; Environmental science; Ecology; Growing season; Global warming; Agronomy; Latitude; Atmospheric sciences","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":[0.0005088758,0.0004765711,0.0004749758,0.0002111295,0.0002500563,0.0008195684,0.0003660116,0.0004680141,0.001082282],"category_scores_gemma":[0.0002351665,0.0002106044,0.0004000499,0.0003775839,0.0004176658,0.0008002395,0.0003848435,0.000422905,0.0002101693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000376045,"about_ca_system_score_gemma":0.000334658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002569919,"about_ca_topic_score_gemma":0.005028029,"domain_scores_codex":[0.9998585,0.000026624,0.00001439339,0.00003996064,0.00003383417,0.00002662839],"domain_scores_gemma":[0.9996387,0.0001197423,0.0001200513,0.00001629103,0.0000513696,0.00005386863],"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":[0.00135872,0.000177298,0.09739098,0.009329812,0.001118447,0.001321446,0.000489214,0.009045416,0.5377033,0.004441055,0.004377946,0.3332464],"study_design_scores_gemma":[0.00003410648,0.001171764,0.8630329,0.0005893605,0.001187589,0.0022596,0.0007793677,0.004533219,0.04035515,0.006503922,0.07941643,0.0001365864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.61349,0.3598876,0.00556546,0.001730547,0.0004317258,0.00003729417,0.00115623,0.0002726706,0.01742836],"genre_scores_gemma":[0.8981622,0.09589598,0.002888957,0.0007127697,0.0002968816,0.00002256884,0.000430094,0.00005153463,0.001538968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002569919,"threshold_uncertainty_score":0.005109906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004127567728416575,"score_gpt":0.183643212334571,"score_spread":0.1795156446061544,"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."}}