{"id":"W2751332395","doi":"10.1111/nph.15029","title":"Phenological responses to multiple environmental drivers under climate change: insights from a long‐term observational study and a manipulative field experiment","year":2018,"lang":"en","type":"article","venue":"New Phytologist","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Phenology; Climate change; Snowmelt; Biology; Ecology; Growing season; Flowering Locus C; Forb; Perennial plant; photoperiodism; Botany; Grassland","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008902085,0.0001877428,0.000294327,0.000339737,0.0005337368,0.0003271913,0.000473582,0.0002760255,0.0004491482],"category_scores_gemma":[0.0007529233,0.0001796782,0.0002573627,0.0003044446,0.0006332624,0.0003083295,0.0003115896,0.0004722623,0.00005572432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000595797,"about_ca_system_score_gemma":0.0003228336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548359,"about_ca_topic_score_gemma":0.04629425,"domain_scores_codex":[0.999727,0.00009463327,0.00001451048,0.00009871829,0.00003466746,0.00003040347],"domain_scores_gemma":[0.9987925,0.0003385855,0.0004319157,0.0001997589,0.0000891515,0.0001479759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001283874,0.001710532,0.5939823,0.000124702,0.000596742,0.0001613563,0.001961398,0.001131314,0.3797879,0.0002277602,0.0003285361,0.01870345],"study_design_scores_gemma":[0.00001743044,0.0003524317,0.9944483,0.000004687932,0.00006734204,0.00003854877,0.000228453,0.001159373,0.003247767,0.00005264557,0.0003717488,0.00001126272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993969,0.00004356649,0.0003243992,0.00001286863,0.00000137128,0.00001012498,0.00007727381,0.000004863938,0.0001283917],"genre_scores_gemma":[0.998015,0.00009030598,0.001318493,0.00004562339,0.000007526105,0.00006195994,0.0002958095,0.0000063261,0.0001589988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548359,"threshold_uncertainty_score":0.03078693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1967099962028979,"score_gpt":0.3379727514576109,"score_spread":0.1412627552547129,"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."}}