{"id":"W4250831931","doi":"10.1016/j.agrformet.2015.08.168","title":"Peer review report 1 On “Continuous observation of leaf area index at Fluxnet-Canada sites”","year":2015,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"FluxNet; Environmental science; Index (typography); Biometeorology; Meteorology; Geography; Eddy covariance; Computer science; Biology; Ecology; Ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005143212,0.0001803593,0.0003587517,0.000005734232,0.0001043538,0.00001323813,0.0001524514,0.00009922915,0.00009884736],"category_scores_gemma":[0.0003957621,0.00005312764,0.00006798546,0.0001747356,0.00005870189,0.00008382955,0.0000930231,0.0001055035,0.000007968806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006972763,"about_ca_system_score_gemma":0.0000209614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04466554,"about_ca_topic_score_gemma":0.2682497,"domain_scores_codex":[0.9983851,0.00008618818,0.0003859841,0.0003116258,0.0005681093,0.0002629836],"domain_scores_gemma":[0.9988337,0.00007000792,0.0002271824,0.00007969332,0.0006331787,0.0001562918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001977494,0.0001089988,0.6216077,0.000104902,0.00007761324,0.00005880589,0.00008255658,0.00003391749,0.02469254,0.0003284621,0.3384922,0.01421448],"study_design_scores_gemma":[0.0001810479,0.0005543292,0.8410746,0.00005728244,0.00003297247,0.0001254595,0.00008648925,0.000009137757,0.0005891976,0.0001075678,0.1570189,0.0001629441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973455,0.002746439,2.258996e-7,0.02164927,0.0001699717,0.0002759641,0.00001618821,0.00001961094,0.00166736],"genre_scores_gemma":[0.9904618,0.0002104079,0.00001680675,0.001784103,0.0001354797,0.00002489423,0.0003555729,9.24882e-7,0.007009972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2235841,"threshold_uncertainty_score":0.9616961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06637037227648172,"score_gpt":0.2214926696587577,"score_spread":0.155122297382276,"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."}}