{"id":"W4285553864","doi":"10.1079/9781789248234.0043","title":"Modeling bilateral forest products trade.","year":2020,"lang":"en","type":"book-chapter","venue":"CABI eBooks","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Softwood; Product (mathematics); Bilateral trade; International trade; Economics; Trade barrier; Econometrics; International economics; Geography; Engineering; Mathematics; Geometry; Pulp and paper industry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006293756,0.0003429234,0.0002557868,0.0000496832,0.00009198799,0.00005395952,0.0003619922,0.0001714274,0.001512915],"category_scores_gemma":[0.000007195084,0.0003173237,0.0001188492,0.00001569207,0.0001581541,0.00006543966,0.0003153239,0.0003045735,0.004557151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003332,"about_ca_system_score_gemma":0.00001578472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008044741,"about_ca_topic_score_gemma":0.00006298172,"domain_scores_codex":[0.998617,0.000007214255,0.00025269,0.0005375749,0.00029416,0.0002913431],"domain_scores_gemma":[0.9993814,0.000005723395,0.00007128159,0.0004002136,0.000003065847,0.0001382921],"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":[0.0001695919,0.000045342,0.0006969164,0.0006888234,0.000326618,0.0006414452,0.003857687,0.0289811,0.0008688826,0.5615675,0.1845522,0.2176039],"study_design_scores_gemma":[0.0001748435,0.00006364129,0.00002954362,0.00004943688,0.00006356528,0.000005791813,0.000001385375,0.01402921,0.00002088185,0.01400946,0.971047,0.0005052658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009245517,0.00003245815,0.00002195392,0.0007605468,0.0002154458,0.0004597055,0.00001238002,0.0001200447,0.9974529],"genre_scores_gemma":[0.05622228,0.000008149658,0.0001713033,0.000836482,0.0005099218,0.00001361458,0.0000392391,0.00008194461,0.9421171],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7864948,"threshold_uncertainty_score":0.9999279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804887001218953,"score_gpt":0.2085642316991728,"score_spread":0.1805153616869833,"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."}}