{"id":"W3120336316","doi":"10.1111/nph.17172","title":"Spatial and temporal shifts in photoperiod with climate change","year":2021,"lang":"en","type":"article","venue":"New Phytologist","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs; National Science Foundation","keywords":"Phenology; photoperiodism; Climate change; Ecology; Growing season; Environmental science; Biology; Atmospheric sciences; Global warming; Climatology; Botany","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":[0.001055403,0.0001064728,0.0001501279,0.0005530527,0.0001493517,0.0006250252,0.0002210555,0.0002278067,0.00199744],"category_scores_gemma":[0.00223013,0.00009262918,0.0004538498,0.001147354,0.0002805328,0.0005656928,0.0003097751,0.0003146722,0.0001910741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005592864,"about_ca_system_score_gemma":0.0004006323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005557225,"about_ca_topic_score_gemma":0.01109874,"domain_scores_codex":[0.9996436,0.0001237249,0.00003039549,0.0001166475,0.00006656139,0.00001906729],"domain_scores_gemma":[0.9983518,0.0008961699,0.0004179793,0.000108074,0.000189324,0.00003665347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003627811,0.0000548114,0.7149077,0.004899492,0.002018,0.0002451943,0.0009929036,0.01931728,0.02714685,0.007349309,0.003420694,0.219285],"study_design_scores_gemma":[0.00001757541,0.0001272923,0.9435847,0.0003667131,0.000513165,0.0002202169,0.000654097,0.004678322,0.003816952,0.00643274,0.03955156,0.00003663138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8482425,0.08545449,0.02865006,0.002553158,0.0003841009,0.00005970339,0.006675542,0.0001908868,0.02778942],"genre_scores_gemma":[0.9814294,0.01367279,0.002910055,0.0002563662,0.00007768744,0.00003389193,0.0008826287,0.00002217771,0.0007150942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005557225,"threshold_uncertainty_score":0.01104981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03731865896518788,"score_gpt":0.2569591250825851,"score_spread":0.2196404661173972,"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."}}