{"id":"W2025270396","doi":"10.1007/s13595-012-0248-6","title":"Models for predicting microfibril angle variation in Scots pine","year":2012,"lang":"en","type":"article","venue":"Annals of Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Scots pine; Pith; Microfibril; Bark (sound); Pinus <genus>; Dendrochronology; Botany; Tracheid; Environmental science; Horticulture; Mathematics; Biology; Ecology; Xylem","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001491144,0.00006771361,0.00009117731,0.00008707327,0.0001225549,0.00001088762,0.0002783662,0.00003300455,0.00005519756],"category_scores_gemma":[0.0001319172,0.00006332285,0.00002855318,0.0004394725,0.0003703537,0.001228165,0.000182635,0.0000345468,0.00002663108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000351625,"about_ca_system_score_gemma":0.00001586812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002795492,"about_ca_topic_score_gemma":0.0002662358,"domain_scores_codex":[0.9989576,0.00001301839,0.0001868863,0.000197572,0.0002080729,0.0004368943],"domain_scores_gemma":[0.9996015,0.00004035053,0.00009893188,0.0001636389,0.00001821009,0.00007733856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005131411,0.0003373267,0.6647969,0.00003610804,0.000006545763,6.637641e-7,0.001831914,0.1256211,0.01272898,0.1906287,0.002637372,0.00132302],"study_design_scores_gemma":[0.0001791363,0.00009854134,0.8982719,0.00001461868,0.00000335825,0.000001050946,0.00003141023,0.04003402,0.003923429,0.05691686,0.0004375229,0.00008813987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696436,0.00005153614,0.02396147,0.0003750109,0.0001895708,0.0003200838,0.000003989441,0.00001347719,0.005441276],"genre_scores_gemma":[0.9966815,0.00001245394,0.002864179,0.0002534938,0.00002598718,0.00002574026,0.000001559098,0.000004061091,0.0001309974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.233475,"threshold_uncertainty_score":0.2582231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03678648673848877,"score_gpt":0.2849638512519236,"score_spread":0.2481773645134349,"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."}}