{"id":"W2207365794","doi":"10.1139/x11-059","title":"A method for estimating wood chip brightness and its applications<sup>1</sup>This article is a contribution to the series The Role of Sensors in the New Forest Products Industry and Bioeconomy.","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations","funders":"","keywords":"Brightness; Chip; Pulp (tooth); Pulp and paper industry; Environmental science; Mill; Brightness temperature; Process engineering; Materials science; Optics; Engineering; Mechanical engineering; Electrical engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001101601,0.001024543,0.0005912328,0.002062348,0.0006031319,0.0008678921,0.001185112,0.001435201,0.005894303],"category_scores_gemma":[0.00350576,0.0005683787,0.0004403348,0.001731561,0.0005463694,0.0009331177,0.0005998439,0.001006786,0.003338371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006308516,"about_ca_system_score_gemma":0.0006898235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001757805,"about_ca_topic_score_gemma":0.003475417,"domain_scores_codex":[0.9981414,0.000370254,0.00005786016,0.0003584828,0.0010241,0.00004789947],"domain_scores_gemma":[0.9980369,0.0007027941,0.0001633391,0.0001878991,0.0008650044,0.00004407387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001787881,0.0001158512,0.007355394,0.0006826647,0.000071404,0.0001222894,0.0001724507,0.006530671,0.2594734,0.007544593,0.01162441,0.7061279],"study_design_scores_gemma":[0.00004494335,0.000579202,0.02085049,0.0001860059,0.0001874342,0.002369986,0.0002407314,0.2140381,0.5944002,0.006397703,0.1603878,0.0003174035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005707411,0.001406221,0.9871667,0.0001309398,0.0002069696,0.0001321063,0.0003585054,0.001397936,0.003493248],"genre_scores_gemma":[0.05547121,0.00126248,0.9347882,0.0001682344,0.00007585689,0.0002639117,0.0003896237,0.0002058518,0.007374591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005894303,"threshold_uncertainty_score":0.01971841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03430888840780864,"score_gpt":0.2890237710782373,"score_spread":0.2547148826704286,"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."}}