{"id":"W2902284521","doi":"10.1139/cjfr-2018-0248","title":"Crop tree growth response and quality after silvicultural rehabilitation of cutover stands","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Service; U.S. Department of Agriculture","keywords":"Crop; Forestry; Agroforestry; Tree (set theory); Environmental science; Agronomy; Geography; Biology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002411849,0.0002252483,0.0002003708,0.0001989203,0.0002366021,0.0002936395,0.0001669314,0.0001685934,0.0005793662],"category_scores_gemma":[0.0004636861,0.00007250821,0.0001854742,0.0001424218,0.0001801508,0.000158487,0.0002269767,0.0002278486,0.00008766385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005764164,"about_ca_system_score_gemma":0.0002074853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007689314,"about_ca_topic_score_gemma":0.03911151,"domain_scores_codex":[0.9998211,0.00002825357,0.00001326759,0.00004254068,0.00003902211,0.00005589958],"domain_scores_gemma":[0.9994783,0.00004636131,0.0001915227,0.00002408691,0.00009784168,0.000162022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002267794,0.001343434,0.8590292,0.00005002211,0.000153364,0.0003196516,0.0005259429,0.0009813095,0.1227911,0.00003730475,0.0001653806,0.01233554],"study_design_scores_gemma":[0.000004449098,0.0005961961,0.9977121,0.000001499036,0.000007913634,0.00002873147,0.00007010126,0.0001845389,0.001329769,0.000006086116,0.00005693396,0.000001651467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998684,0.00001522082,0.00001591836,0.00000179511,5.568162e-7,0.000002088305,0.00002316211,0.000001143387,0.00007158279],"genre_scores_gemma":[0.999564,0.00001355751,0.00006145326,0.000009680747,0.000001463859,0.000004223538,0.0001402493,7.597524e-7,0.0002045381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9923107,"threshold_uncertainty_score":0.01528913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558456246745336,"score_gpt":0.3139213336546257,"score_spread":0.2883367711871723,"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."}}