{"id":"W2171117359","doi":"10.5539/ass.v10n23p208","title":"Descriptive Analysis of Introduction of Innovative Technologies in Forestry","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reforestation; Greenhouse; Afforestation; Silviculture; Forestry; Sowing; Adaptability; Receipt; Business; Agroforestry; Environmental science; Horticulture; Geography; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002995808,0.000043099,0.0001284699,0.0005411179,0.00005709212,0.00004576662,0.0001859374,0.00003014917,0.00001953788],"category_scores_gemma":[0.000233696,0.0000364107,0.00002078692,0.00650543,0.0003164627,0.0008130188,0.00007572531,0.00002967016,0.000003309431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003356801,"about_ca_system_score_gemma":0.00001558203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002735262,"about_ca_topic_score_gemma":0.0000368531,"domain_scores_codex":[0.9994931,0.000001964868,0.0001720473,0.0001294951,0.0001093175,0.00009404559],"domain_scores_gemma":[0.9995463,0.000003464932,0.0002027768,0.00005105955,0.0001946237,0.000001710575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004724056,0.00004402717,0.1799376,0.00001586227,0.00003391183,7.999986e-8,0.000811051,0.00002487488,0.0008818466,0.7290105,0.001255269,0.08798029],"study_design_scores_gemma":[0.00008908844,0.000003247769,0.9729545,0.000004653646,0.00001736281,3.313258e-8,0.01165084,0.0002476043,0.0006935844,0.009107653,0.005147212,0.00008423645],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5755521,0.00000151671,0.0007465957,0.001210567,0.0001186678,0.00007730987,0.000001335008,0.00004225861,0.4222496],"genre_scores_gemma":[0.9997278,3.987706e-7,0.0001156249,0.00003609426,0.00005888901,0.000002414707,0.00001143741,0.000001249485,0.00004606484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7930169,"threshold_uncertainty_score":0.3125644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025276423604324,"score_gpt":0.2127577606721088,"score_spread":0.2025049964360656,"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."}}