{"id":"W599698300","doi":"10.1007/s00300-015-1736-6","title":"Temperature and delayed snowmelt jointly affect the vegetative and reproductive phenologies of four sub-Arctic plants","year":2015,"lang":"en","type":"article","venue":"Polar Biology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Aboriginal Affairs and Northern Development Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Snowmelt; Tundra; Phenology; Biology; Snow; Arctic; Growing season; Ecology; Larch; Arctic vegetation; Climate change; Snowpack; Geography","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":[0.0001971155,0.0002586142,0.000285423,0.0004251741,0.000460074,0.0003662821,0.0002059669,0.0002145671,0.0005901541],"category_scores_gemma":[0.0002833323,0.0002261049,0.0002318714,0.0002584937,0.0003040562,0.0002507138,0.0003353695,0.000242775,0.0001154991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004731333,"about_ca_system_score_gemma":0.0002519387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320095,"about_ca_topic_score_gemma":0.03105655,"domain_scores_codex":[0.9999285,0.00002060959,0.000003256181,0.00002124508,0.000008749633,0.00001769039],"domain_scores_gemma":[0.999638,0.0001605453,0.00006546894,0.00001972317,0.000049772,0.00006648483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001343531,0.0001181921,0.5365617,0.00005764877,0.0001889904,0.0001669453,0.001003846,0.001945945,0.4492581,0.000198215,0.0001223406,0.00903445],"study_design_scores_gemma":[0.000003977487,0.00006104574,0.9959104,0.000001100586,0.00002322785,0.00004368917,0.0002008874,0.001171005,0.002353263,0.00004757857,0.0001783058,0.000005465906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997013,0.00003157788,0.00006951392,0.000004125331,0.000001046495,0.00000121513,0.00003896909,0.000002023564,0.0001502089],"genre_scores_gemma":[0.9994623,0.00002763784,0.0001194412,0.00000808392,0.000001403411,0.000003818493,0.000116393,0.000004025271,0.0002569326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01320095,"threshold_uncertainty_score":0.02624822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05891124083674123,"score_gpt":0.2643214717610397,"score_spread":0.2054102309242984,"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."}}