{"id":"W2912055879","doi":"10.1002/ecs2.2581","title":"Influence of phylogeny and abiotic factors varies across early and late reproductive phenology of Himalayan<i>Rhododendrons</i>","year":2019,"lang":"en","type":"article","venue":"Ecosphere","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Montreal Biodome","funders":"National Centre for Biological Sciences; Department of Biotechnology, Government of West Bengal","keywords":"Phenology; Abiotic component; Biology; Phylogenetic tree; Altitude (triangle); Ecology; Context (archaeology); Biotic component","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":[0.0001843123,0.000179975,0.0001859456,0.000513738,0.0004216141,0.0004798106,0.0001860114,0.0001263931,0.0006849428],"category_scores_gemma":[0.0002104241,0.0000875975,0.0001891494,0.0004162452,0.0002210825,0.0001540164,0.0002761898,0.0001807485,0.0001648352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002960756,"about_ca_system_score_gemma":0.0001521959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01013404,"about_ca_topic_score_gemma":0.01881949,"domain_scores_codex":[0.999866,0.00003426906,0.000008347067,0.00004922547,0.00001811272,0.00002397272],"domain_scores_gemma":[0.9997801,0.00004115794,0.00007589868,0.00001883776,0.00003130038,0.00005262088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002349725,0.00005298118,0.8679048,0.00006670683,0.0001361048,0.0003359282,0.001619955,0.0003860949,0.1213736,0.00009244895,0.00009737281,0.007699092],"study_design_scores_gemma":[5.094235e-7,0.00001263162,0.9994112,0.000001233363,0.000004535812,0.00003846985,0.0001527218,0.00008831049,0.0002113474,0.000004898917,0.00007282855,0.000001363441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996445,0.00005440853,0.00004287309,0.000004486606,4.755513e-7,0.000001115578,0.00005007064,0.000002661783,0.0001993528],"genre_scores_gemma":[0.9997318,0.00002047676,0.00006234956,0.000004002413,0.00000105937,0.000001548262,0.00009948298,0.000001078759,0.0000781291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01013404,"threshold_uncertainty_score":0.02015013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528229195877315,"score_gpt":0.198779903934877,"score_spread":0.1834976119761039,"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."}}