{"id":"W7100181528","doi":"","title":"IN CONIFEROUS SAWN TIMBER PRODUCTION","year":2016,"lang":"en","type":"article","venue":"","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Production (economics); Strengths and weaknesses; Productivity; Government (linguistics); Cluster (spacecraft)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001285285,0.0001915458,0.0001409491,0.000584157,0.001469278,0.00107553,0.0003078328,0.0002074208,0.002396035],"category_scores_gemma":[0.002929306,0.000105654,0.00008770416,0.001216801,0.0008173943,0.0003721905,0.0007482354,0.0002952579,0.0001211209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003047555,"about_ca_system_score_gemma":0.005565295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3061513,"about_ca_topic_score_gemma":0.6822724,"domain_scores_codex":[0.9990577,0.0001241792,0.00003307474,0.0001175784,0.0003871037,0.000280372],"domain_scores_gemma":[0.9978827,0.0003769036,0.0006914869,0.00005129433,0.0005618496,0.0004357308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001037819,0.00004936081,0.9513693,0.0001147314,0.00002015418,0.0007151823,0.01572618,0.0001637883,0.002618382,0.001145313,0.0003934651,0.02758031],"study_design_scores_gemma":[0.000003930513,0.0000716441,0.9473578,0.00009483267,0.00002165092,0.0004557458,0.0432826,0.0003124377,0.0007915281,0.0002811901,0.00731929,0.000007447104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992983,0.0002133673,0.00008414502,0.0002018519,0.000003513671,0.00001037784,0.00004998791,0.000001206767,0.00645246],"genre_scores_gemma":[0.9992543,0.00009585971,0.00006993757,0.00001582427,0.000001035521,0.000001467341,0.0000192803,5.499066e-7,0.0005415911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3061513,"threshold_uncertainty_score":0.6087385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972249876767049,"score_gpt":0.2017440202878065,"score_spread":0.182021521520136,"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."}}