{"id":"W2149563542","doi":"10.1093/treephys/tpt108","title":"Assessment of xylem phenology: a first attempt to verify its accuracy and precision","year":2013,"lang":"en","type":"article","venue":"Tree Physiology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Université du Québec à Chicoutimi","keywords":"Phenology; Xylem; Growing season; Taiga; Sampling (signal processing); Tracheid; Black spruce; Boreal; Tree (set theory); Biology; Environmental science; Ecology; Botany; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01269468,0.0007626539,0.0008308126,0.002326955,0.001019589,0.001716723,0.001423854,0.0008432937,0.000918934],"category_scores_gemma":[0.02063615,0.0003328323,0.0004385039,0.002127799,0.0008869912,0.001216957,0.001102371,0.0005682181,0.0007725371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060093,"about_ca_system_score_gemma":0.001043715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04971801,"about_ca_topic_score_gemma":0.08970002,"domain_scores_codex":[0.9937703,0.002290199,0.0005036626,0.001465195,0.001778601,0.0001918994],"domain_scores_gemma":[0.979738,0.007607406,0.002141962,0.004032711,0.006268869,0.0002110087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004074866,0.0001536011,0.718405,0.0008850063,0.0006750408,0.0001332291,0.002147884,0.004276137,0.09815992,0.0007570329,0.0006113141,0.1733883],"study_design_scores_gemma":[0.00002294177,0.0006082398,0.9367714,0.0001471389,0.0002811092,0.0005238816,0.000679741,0.02013495,0.03125225,0.0005835427,0.008894367,0.0001004813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6290869,0.005409699,0.3502091,0.0002070846,0.000144926,0.0005793095,0.003847704,0.001038289,0.009477007],"genre_scores_gemma":[0.8724746,0.001534151,0.1222404,0.0001754702,0.0000715124,0.0002236165,0.001257238,0.0001497817,0.001873111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04971801,"threshold_uncertainty_score":0.09885728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559339052535955,"score_gpt":0.2836017945992108,"score_spread":0.2580084040738512,"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."}}