{"id":"W4409404326","doi":"10.3389/fenvs.2025.1548578","title":"Spring phenology in photosynthesis control and modeling for a temperate bog","year":2025,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Université de Montréal; Trent University; McGill University","funders":"","keywords":"Bog; Spring (device); Temperate climate; Phenology; Environmental science; Photosynthesis; Ecology; Atmospheric sciences; Climatology; Peat; Biology; Botany; Geology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006131727,0.000132309,0.0002212279,0.0001808652,0.0001707498,0.00002572921,0.0003013643,0.00007271033,0.00004168505],"category_scores_gemma":[0.00004583159,0.000127087,0.00002507404,0.0002685663,0.0007083782,0.0002453181,0.0002040837,0.0001060142,0.000005066011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004885521,"about_ca_system_score_gemma":0.00001563213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003833979,"about_ca_topic_score_gemma":0.0004173357,"domain_scores_codex":[0.9985602,0.00003264719,0.000227422,0.0005489125,0.0001299928,0.0005008173],"domain_scores_gemma":[0.999699,0.00004062676,0.00003431429,0.0001576672,7.644722e-7,0.00006765006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000537128,0.00005888686,0.9567041,0.000003524266,0.000002630668,0.000003160967,0.0001232128,0.006438305,0.02925623,0.00003031518,0.0000482972,0.007277611],"study_design_scores_gemma":[0.001610923,0.00005418135,0.5065676,0.00001729789,0.000008137226,0.000002427997,0.0003726771,0.4874625,0.001156819,0.001756596,0.0007973223,0.000193474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984769,0.0001636332,0.01303136,0.0002464616,0.0002092127,0.0003830957,0.00000675479,0.000009680253,0.00118079],"genre_scores_gemma":[0.9942743,0.0001199328,0.005063486,0.0003192083,0.000006946772,0.00009504107,9.208247e-7,0.000005789956,0.0001144082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4810242,"threshold_uncertainty_score":0.5182457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005031968817058267,"score_gpt":0.2039094050315375,"score_spread":0.1988774362144792,"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."}}