{"id":"W2981458643","doi":"10.3389/fpls.2019.01276","title":"Measuring Rapid A–Ci Curves in Boreal Conifers: Black Spruce and Balsam Fir","year":2019,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Forêts, de la Faune et des Parcs; Canadian Forest Service; Natural Resources Canada","funders":"Université Laval","keywords":"Black spruce; Photosynthesis; Limiting; Selection (genetic algorithm); Balsam; Range (aeronautics); Biology; Environmental science; Computer science; Statistics; Taiga; Botany; Ecology; Mathematics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000866759,0.0004895492,0.0002855332,0.0008049269,0.0006879836,0.0006527133,0.0004875659,0.0004289481,0.0008387651],"category_scores_gemma":[0.0008281115,0.0002092239,0.0001831807,0.0008840422,0.0003195976,0.0006679476,0.0002881352,0.0006938897,0.0002778322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006847435,"about_ca_system_score_gemma":0.0004920608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01574285,"about_ca_topic_score_gemma":0.03847067,"domain_scores_codex":[0.9995103,0.00008594535,0.00002447336,0.0002129931,0.0001228678,0.00004348708],"domain_scores_gemma":[0.9989322,0.0002997286,0.0002856451,0.0001022583,0.0002573297,0.0001228305],"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":[0.0003710104,0.0003124477,0.09895184,0.0002422007,0.00005968892,0.00006806166,0.0005234635,0.001995593,0.8299231,0.0004731092,0.0005526086,0.06652697],"study_design_scores_gemma":[0.00002020312,0.0005173516,0.8483296,0.00002367521,0.00005110763,0.0003778807,0.0003551955,0.008835703,0.1371002,0.0004117922,0.003914612,0.00006263916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632536,0.001108006,0.02981483,0.0000549174,0.00002959296,0.00007875735,0.0008286965,0.000505904,0.004325562],"genre_scores_gemma":[0.9758832,0.0003103539,0.02158297,0.00006972405,0.00001187814,0.00008711635,0.0006839866,0.0001049469,0.001265883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01574285,"threshold_uncertainty_score":0.03130239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00908906519110994,"score_gpt":0.1849282066412618,"score_spread":0.1758391414501519,"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."}}