{"id":"W2963908892","doi":"10.1111/gcb.14759","title":"Cryptic phenology in plants: Case studies, implications, and recommendations","year":2019,"lang":"en","type":"review","venue":"Global Change Biology","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"Brookhaven National Laboratory; Oak Ridge National Laboratory; U.S. Department of Energy; Gordon and Betty Moore Foundation; Biological and Environmental Research; McMaster University; Office of Science; National Aeronautics and Space Administration; National Science Foundation","keywords":"Phenology; Evergreen; Ecology; Biosphere; Deciduous; Ecosystem; Biology; Climate change; Range (aeronautics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001438454,0.0002909906,0.0008681897,0.00004425656,0.00006928838,0.000009180499,0.0001914459,0.0004708194,0.00008476699],"category_scores_gemma":[0.00006776402,0.0002050729,0.00006640711,0.0003031928,0.0002137248,0.00004984055,0.0004267084,0.0002254,0.0006055995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006756273,"about_ca_system_score_gemma":0.00001378122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005656847,"about_ca_topic_score_gemma":0.0009210051,"domain_scores_codex":[0.9983929,0.0002917298,0.0003554479,0.0005819107,0.00003480339,0.0003431725],"domain_scores_gemma":[0.9992526,0.0001496999,0.0002111266,0.0003199364,0.000007180891,0.00005950309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[9.146372e-7,0.0000191163,0.0008262465,0.0003089664,0.0000404946,0.00006920568,0.00006693678,3.926641e-8,1.932707e-7,0.0001941554,0.003933159,0.9945406],"study_design_scores_gemma":[0.00009706926,0.00005043172,0.0003587898,0.0004301707,0.00009427606,0.005625453,0.00007979965,0.000002025021,6.59802e-9,0.0004776493,0.992556,0.0002283381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003094497,0.9964261,0.000002857256,0.0005720725,0.0005451054,0.0008419523,0.0003492682,0.00003043851,0.0009227316],"genre_scores_gemma":[0.0001634767,0.9984754,0.0005320939,0.0002536703,0.0001158763,0.00004730626,0.0003486156,0.000009266891,0.00005428832],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9943122,"threshold_uncertainty_score":0.8362629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1694480672543176,"score_gpt":0.3997712457889661,"score_spread":0.2303231785346485,"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."}}