{"id":"W2368741260","doi":"","title":"Nanotechnology And Forest Products Industry","year":2009,"lang":"en","type":"article","venue":"China Wood-based Panels","topic":"Civil and Geotechnical Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Applications of nanotechnology; Nanotechnology; China; Chemical industry; Engineering; Business; Political science; Materials science; Environmental engineering","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":[0.0002929477,0.0002439935,0.0001425085,0.001139972,0.000968016,0.001449817,0.0001609729,0.001138935,0.004405453],"category_scores_gemma":[0.000269258,0.00009565944,0.0001805838,0.0009717668,0.000803152,0.001818614,0.0008470793,0.0008621148,0.0007207597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557871,"about_ca_system_score_gemma":0.00138195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003178255,"about_ca_topic_score_gemma":0.005965405,"domain_scores_codex":[0.9997264,0.0000493734,0.00001496107,0.00005651335,0.0001044557,0.00004832414],"domain_scores_gemma":[0.9998989,0.00002899975,0.00001189145,0.000006404092,0.00004337304,0.00001032843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003345241,0.00007687934,0.00257955,0.0006761257,0.00001250846,0.000780164,0.0009566508,0.001204216,0.006022235,0.645121,0.04453254,0.2980046],"study_design_scores_gemma":[0.000001880248,0.00004389704,0.001852031,0.0003477753,0.000004821489,0.0003769754,0.000341505,0.0002592529,0.001474568,0.04179146,0.9534928,0.00001313577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03239855,0.3569761,0.008394607,0.02495296,0.002563274,0.0001025293,0.0001885227,0.0001053973,0.574318],"genre_scores_gemma":[0.2724001,0.4528014,0.01304387,0.01646113,0.00186732,0.0001138845,0.0002504883,0.00004107975,0.2430207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004405453,"threshold_uncertainty_score":0.01473767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084004023265029,"score_gpt":0.2233142716482762,"score_spread":0.2124742314156259,"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."}}