{"id":"W4393177707","doi":"","title":"EXPORTACIÓN DE MADERA ASERRADA DE CONÍFERA CHILENA: UN ANÁLISIS DE SU COMPETITIVIDAD CHILEAN EXPORT OF SOFTWOOD SAWNWOOD: AN ANALYSIS OF ITS COMPETITIVENESS","year":2007,"lang":"es","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Softwood; Economics; Political science; Forestry; Geography; Biology; Botany","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":[0.0006329305,0.0003826961,0.0003296128,0.002575167,0.0005840657,0.001401416,0.0003301294,0.0002551341,0.003159082],"category_scores_gemma":[0.0004934149,0.0001819008,0.0006603373,0.00375939,0.0003339823,0.0007931284,0.0006487169,0.0002894419,0.0003860257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001954781,"about_ca_system_score_gemma":0.001056263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04525467,"about_ca_topic_score_gemma":0.04998324,"domain_scores_codex":[0.9998006,0.00002152513,0.00001374737,0.00005012725,0.00006227677,0.00005174362],"domain_scores_gemma":[0.9993223,0.00012563,0.0002033163,0.00003846364,0.000239194,0.00007101185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004410465,0.0001074163,0.9462125,0.0004332937,0.0001718627,0.0006841963,0.005347823,0.001636293,0.0178162,0.0006938983,0.0006697807,0.02578568],"study_design_scores_gemma":[0.000004260768,0.0000915427,0.989407,0.00004841105,0.00003361148,0.0001204173,0.004597458,0.0003597932,0.001311096,0.00006857049,0.003945811,0.00001210261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953791,0.0003500112,0.00009996035,0.00002914808,0.000001498512,0.00001274558,0.0007359734,0.000004143909,0.00338733],"genre_scores_gemma":[0.9883223,0.0008358862,0.0002755708,0.0000158491,0.000005494452,0.00005211112,0.001924179,0.000008842342,0.008559646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04525467,"threshold_uncertainty_score":0.08998251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015385347515567,"score_gpt":0.4811515610159126,"score_spread":0.3796130262643559,"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."}}