{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001344165,0.0006817559,0.0005069434,0.0005665065,0.0005079461,0.000809064,0.0008183023,0.0008054778,0.00076681],"category_scores_gemma":[0.002743632,0.0004809941,0.0006772304,0.0003835403,0.0003042264,0.0006156578,0.0002751421,0.0006761231,0.0001928894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128411,"about_ca_system_score_gemma":0.0006559848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04414368,"about_ca_topic_score_gemma":0.04248083,"domain_scores_codex":[0.9998426,0.00005065752,0.00000903836,0.00004991445,0.00001722379,0.000030388],"domain_scores_gemma":[0.9980848,0.001425818,0.0001593654,0.00005834698,0.0001551813,0.0001166423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005960634,0.00003225967,0.00850152,0.000009407844,0.00003017132,0.00001937953,0.00001305281,0.9876056,0.0005361353,0.0002860427,0.0002003393,0.002706594],"study_design_scores_gemma":[0.000003015234,0.000006774482,0.001360515,0.000001182073,0.000004430163,0.000003704132,0.000004091199,0.9981706,0.00007762084,0.0003407507,0.00002427436,0.000002959281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96808,0.0003818274,0.02990014,0.0001707998,0.0000311907,0.00001815147,0.0004812978,0.0002391118,0.0006975448],"genre_scores_gemma":[0.9949615,0.00007945947,0.0038433,0.00002121891,0.00001194537,0.00001790334,0.0003382134,0.00002702717,0.000699337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04414368,"threshold_uncertainty_score":0.08777344,"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."}}