{"id":"W2163958507","doi":"10.1139/x08-010","title":"Analysis of cellulose microfibril angle using a linear mixed model in <i>Pinus taeda</i> clones","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"North Carolina State University; Oregon State University; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Loblolly pine; Pinus <genus>; Repeatability; Variance components; Mathematics; Botany; Coefficient of variation; Biology; Microfibril; Animal science; Pith; Horticulture; Cellulose; Statistics","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":[0.00377195,0.0007637321,0.001001309,0.000797873,0.0005663967,0.001060758,0.000815145,0.0006083472,0.0009362756],"category_scores_gemma":[0.004247522,0.0004735834,0.001658577,0.0006779223,0.0003825088,0.0003861483,0.0003872898,0.0005282014,0.000189923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075819,"about_ca_system_score_gemma":0.0006651487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04524635,"about_ca_topic_score_gemma":0.04234115,"domain_scores_codex":[0.9980204,0.0008511007,0.0000899604,0.0007754468,0.0001415554,0.0001215664],"domain_scores_gemma":[0.9965059,0.002565345,0.000292047,0.0002659379,0.000260528,0.0001104206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004605885,0.0008517966,0.7546641,0.0001835983,0.003298619,0.001009138,0.001684852,0.05950779,0.08300452,0.0009534103,0.0004896997,0.08974667],"study_design_scores_gemma":[0.0000655717,0.00105868,0.7371934,0.0000119581,0.0005727849,0.0001556987,0.0002955306,0.2536317,0.005833362,0.0004060925,0.0006992127,0.00007613229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915019,0.0000607885,0.008098594,0.00001288374,0.000003918904,0.00002491051,0.0001573181,0.00004914416,0.00009056769],"genre_scores_gemma":[0.9878623,0.00004451047,0.01063859,0.00001191298,0.000005124147,0.0001309536,0.0005977664,0.00003488746,0.0006739221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04524635,"threshold_uncertainty_score":0.089966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05666719061989803,"score_gpt":0.2947218627522377,"score_spread":0.2380546721323397,"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."}}