{"id":"W2326243253","doi":"10.1093/treephys/27.8.1125","title":"Using simple causal modeling to understand how water and temperature affect daily stem radial variation in trees","year":2007,"lang":"en","type":"article","venue":"Tree Physiology","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Picea abies; Ecotone; Abies alba; Chemistry; Animal science; Botany; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004260129,0.00149167,0.001046647,0.001579728,0.000567502,0.001180407,0.001422992,0.001081902,0.004259001],"category_scores_gemma":[0.01080517,0.0008129021,0.002262191,0.001306853,0.0007152004,0.001443555,0.001146594,0.001058681,0.0002515981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587272,"about_ca_system_score_gemma":0.001505138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190388,"about_ca_topic_score_gemma":0.01890157,"domain_scores_codex":[0.9982426,0.001036243,0.00009321429,0.0003488474,0.0001411026,0.0001380452],"domain_scores_gemma":[0.9922288,0.006329181,0.0007751214,0.0002505348,0.0002853562,0.0001311044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003006363,0.0003341369,0.04330961,0.0003166548,0.0013177,0.0004539324,0.0003420503,0.8632089,0.002028831,0.0620692,0.0009704086,0.02534798],"study_design_scores_gemma":[0.00004988102,0.00008459532,0.003524161,0.00001449913,0.000246988,0.00006093753,0.00003682523,0.9687329,0.0002256182,0.02605801,0.0009416653,0.00002396593],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2429895,0.001105292,0.7464315,0.0013407,0.0002263281,0.0003663497,0.002112756,0.0009835701,0.004443871],"genre_scores_gemma":[0.9385702,0.0007550009,0.05441146,0.0001906396,0.0001438439,0.0005501249,0.0007541884,0.00007993682,0.004544579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02190388,"threshold_uncertainty_score":0.04355276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04638817001880849,"score_gpt":0.2669460724689216,"score_spread":0.2205579024501131,"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."}}