{"id":"W4406479728","doi":"10.3389/fagro.2024.1496255","title":"Reassessing the schedule of the sugar season in maple under climate warming","year":2025,"lang":"en","type":"article","venue":"Frontiers in Agronomy","topic":"Natural Products and Biological Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Maple; Sugar; Schedule; Environmental science; Climate change; Global warming; Climatology; Ecology; Economics; Biology; Geology; Food science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006530642,0.0000731151,0.0001857939,0.00007829677,0.00006634682,0.00001480626,0.0001906254,0.00007104463,0.0000220706],"category_scores_gemma":[0.0002530618,0.00003293393,0.00005388943,0.0004816888,0.0001693689,0.00004073,0.0001529879,0.0003967381,0.000001236621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001289196,"about_ca_system_score_gemma":0.0001249804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006373474,"about_ca_topic_score_gemma":0.00002070513,"domain_scores_codex":[0.9991492,0.0001103572,0.0001814394,0.0001793159,0.0001266909,0.0002530198],"domain_scores_gemma":[0.9995766,0.00007416181,0.00003981775,0.0002497934,0.00003652182,0.00002314207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001881175,0.00009922522,0.9461981,0.0001238582,0.00003066702,0.000004374086,0.00008287573,0.00003468053,0.002387472,0.002703374,0.006209518,0.04193776],"study_design_scores_gemma":[0.001311834,0.00004661388,0.9609664,0.0008060462,0.00002746184,0.000002007054,0.002285888,0.00108887,0.009943791,0.00490835,0.01850398,0.0001087757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970993,0.004950934,0.0003330474,0.01418071,0.0003757596,0.0005050632,0.000001703026,0.000008853845,0.00865088],"genre_scores_gemma":[0.995468,0.000120048,0.00269088,0.0003339281,0.00003666487,0.000008642257,0.000003021774,0.000003712214,0.001335119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04182898,"threshold_uncertainty_score":0.1723652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997463789308056,"score_gpt":0.3107776607227012,"score_spread":0.2908030228296207,"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."}}