{"id":"W2898924560","doi":"10.21475/ajcs.18.12.09.pne1243","title":"Competitiveness of wood pulp in the international market","year":2018,"lang":"en","type":"article","venue":"Australian Journal of Crop Science","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herfindahl index; Agricultural economics; Pulp (tooth); Index (typography); Market concentration; Market share; Gini coefficient; Economics; Market competition; Pulp and paper industry; Inequality; Business; Mathematics; Market economy; Economic inequality; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00175384,0.00006900218,0.0001164063,0.00003355707,0.0001547412,0.0001106974,0.001699907,0.00002377913,0.0007906286],"category_scores_gemma":[0.0001104281,0.00001793644,0.00006258104,0.001052536,0.00112228,0.0005261903,0.00006010172,0.0001113154,0.000006223865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001866692,"about_ca_system_score_gemma":0.00003389685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000641511,"about_ca_topic_score_gemma":0.0002546659,"domain_scores_codex":[0.9985924,0.0000554675,0.0003079968,0.0001269391,0.0007134884,0.0002036632],"domain_scores_gemma":[0.9991276,0.00009564453,0.0002684825,0.00003592958,0.0004055736,0.00006681283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006793803,0.0001482192,0.06903952,0.000002672741,0.000006902763,0.00002145487,0.001005197,0.00000639605,0.9125015,0.001003811,0.001388945,0.01480744],"study_design_scores_gemma":[0.00009229904,0.0005951599,0.9520878,0.00005061076,0.000003622203,0.0001408822,0.003273433,0.0000099074,0.03432528,0.0005333374,0.008812195,0.00007546467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887393,0.00001380053,0.000001312938,0.00629999,0.0003645613,0.00004361284,0.000004348685,0.000001927452,0.004531218],"genre_scores_gemma":[0.9991575,0.000008820726,0.00009989367,0.0001257358,0.0002748688,4.673205e-7,3.135273e-7,1.4547e-7,0.0003322355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8830483,"threshold_uncertainty_score":0.8656829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561083369483223,"score_gpt":0.2694410354052886,"score_spread":0.2338302017104563,"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."}}