{"id":"W3047823739","doi":"10.1016/j.foreco.2020.118483","title":"Bioclimatic distance and performance of apical shoot extension: Disentangling the role of growth rate and duration in ecotypic differentiation","year":2020,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Ministère des Forêts, de la Faune et des Parcs; Université du Québec à Chicoutimi","keywords":"Shoot; Phenology; Biology; Boreal; Taiga; Temperate climate; Growing season; Black spruce; Context (archaeology); Growth rate; Ecology; Horticulture; 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":[0.0003903035,0.0001557781,0.0002267833,0.0003793484,0.0001669123,0.0004154023,0.0002161294,0.0002434588,0.001446851],"category_scores_gemma":[0.0006874842,0.0001473976,0.0001561498,0.0002807661,0.0002751013,0.0002974637,0.0003731014,0.0002696467,0.0002691233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493756,"about_ca_system_score_gemma":0.0001175651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599508,"about_ca_topic_score_gemma":0.00406078,"domain_scores_codex":[0.9998494,0.0000466011,0.00001029926,0.00004808317,0.00001983312,0.00002585626],"domain_scores_gemma":[0.9990772,0.0003298814,0.0001915892,0.000108456,0.00007955588,0.0002132529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002858612,0.0002222784,0.60488,0.00005486588,0.0001800025,0.0001151255,0.0005398866,0.0006188747,0.3757247,0.0002426825,0.0001571521,0.01440585],"study_design_scores_gemma":[0.000002599693,0.00008208783,0.9976605,0.000001352696,0.000009726159,0.00005403255,0.00006911823,0.0003740086,0.00164967,0.00003263072,0.00006099866,0.000003205405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993642,0.00006222621,0.0001353738,0.000006404038,0.000001405575,0.000001121792,0.00006228124,0.000003315629,0.0003637333],"genre_scores_gemma":[0.9995226,0.00001448413,0.00009019346,0.000008464665,0.000001650213,0.000001824159,0.00007837018,0.000009071748,0.0002733651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001599508,"threshold_uncertainty_score":0.004840195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003700383213142554,"score_gpt":0.1628285348714543,"score_spread":0.1591281516583117,"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."}}