{"id":"W2898147013","doi":"10.1080/02773813.2018.1494745","title":"Effect of Wood Welding Treatment on Chemical Constituents of Australian Eucalyptus species","year":2018,"lang":"en","type":"article","venue":"Minerva Access (University of Melbourne)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hardwood; Welding; Chemistry; Lignin; Eucalyptus; Pulp and paper industry; Composite material; Botany; Materials science; Organic chemistry; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006495626,0.0001604917,0.0003694716,0.0001338653,0.00004753038,0.000008555348,0.0002623088,0.00007904576,0.0003388193],"category_scores_gemma":[0.000009886944,0.000141703,0.0001280386,0.0001567644,0.0002660475,0.0001842352,0.00005181861,0.00005051386,0.00001509405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007262791,"about_ca_system_score_gemma":0.00001262047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003166446,"about_ca_topic_score_gemma":0.00006012805,"domain_scores_codex":[0.9993975,0.00003002605,0.000131294,0.0001261923,0.0001520246,0.0001629393],"domain_scores_gemma":[0.9995645,0.00006860479,0.0000771697,0.0001788885,0.00005121479,0.00005962849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003178179,0.001286606,0.111428,0.002458516,0.003914956,0.0001555171,0.009665385,0.002132253,0.769071,0.0009720814,0.009557483,0.08618007],"study_design_scores_gemma":[0.001779936,0.001000098,0.003563359,0.00020701,0.0002002083,0.000002531086,0.0002085539,0.0002742095,0.9906811,0.00001132543,0.001928756,0.0001429005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887216,0.00007337978,0.00002577781,0.00007540183,0.0001302206,0.0001334973,0.0000233598,0.00003718081,0.0107796],"genre_scores_gemma":[0.9982356,0.00004788557,0.0001904414,0.000001399027,0.00004672538,3.313801e-7,0.000008170403,0.000009668903,0.001459792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2216101,"threshold_uncertainty_score":0.5778479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858958211453404,"score_gpt":0.236957590149582,"score_spread":0.2083680080350479,"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."}}