{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074648,0.000231369,0.0002431144,0.004556871,0.0005250135,0.00118196,0.0005080039,0.0002628679,0.011488],"category_scores_gemma":[0.006452934,0.0001035375,0.000540252,0.005520715,0.0004138925,0.001000283,0.0006588974,0.0006527515,0.001203778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187886,"about_ca_system_score_gemma":0.001007954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002933873,"about_ca_topic_score_gemma":0.003522903,"domain_scores_codex":[0.9986186,0.0003199555,0.0001688528,0.0002002551,0.0004932155,0.0001991847],"domain_scores_gemma":[0.9844677,0.009430584,0.003266127,0.0006099502,0.001583275,0.0006422538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002694633,0.0002206029,0.9324898,0.000495701,0.0001319564,0.0003520092,0.00283831,0.001021761,0.0009324691,0.00756466,0.004832344,0.04885095],"study_design_scores_gemma":[0.000004415267,0.0001418484,0.9712413,0.0001064269,0.00004724341,0.0003268661,0.004016682,0.001322423,0.0004496999,0.0008265349,0.02149672,0.00001987622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408073,0.001424302,0.002587343,0.0003095146,0.00005190143,0.0002080487,0.0176939,0.0001231164,0.03679444],"genre_scores_gemma":[0.9860725,0.0005171116,0.001455275,0.0000323318,0.00003852536,0.0002023598,0.00595514,0.00002290572,0.005703752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.011488,"threshold_uncertainty_score":0.03843117,"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."}}