{"id":"W4311158819","doi":"10.5539/sar.v12n1p12","title":"Socio-Economic Factors Influencing Woodlot Farming Adoption from Crop Farming in Tanzania: A Case of Mufindi District","year":2022,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tanzania; Agriculture; Business; Subsidy; Household income; Farm income; Agricultural economics; Socioeconomics; Geography; Economics","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":[0.0003122607,0.0001679374,0.000164095,0.0006454447,0.001516072,0.0007211328,0.0002661301,0.0002697416,0.002068495],"category_scores_gemma":[0.0007492968,0.0001989855,0.0002148449,0.0007836762,0.0005348498,0.0004061915,0.0006721535,0.0004369115,0.0001440018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009559286,"about_ca_system_score_gemma":0.0008189579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03853519,"about_ca_topic_score_gemma":0.1163375,"domain_scores_codex":[0.9997459,0.00007526869,0.00001086499,0.00002072981,0.00002146574,0.0001257646],"domain_scores_gemma":[0.999491,0.0001414541,0.0001695735,0.00001798395,0.00004494176,0.0001350406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003931861,0.0001705253,0.9582306,0.00004396723,0.00001473118,0.005353079,0.02890045,0.00009714767,0.0009255625,0.0003548553,0.0002245163,0.005645381],"study_design_scores_gemma":[0.00000412728,0.000112372,0.9000092,0.00004519103,0.00001803974,0.0009644782,0.09747832,0.0003487123,0.0001081587,0.00008586071,0.0008144754,0.00001112093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997374,0.00002059059,0.00001114797,0.00004596807,5.517867e-7,0.000003146477,0.000009683213,2.360369e-7,0.0001711985],"genre_scores_gemma":[0.9997713,0.00004075745,0.00002555659,0.00001115962,7.276341e-7,0.000003379444,0.00001000215,2.487348e-7,0.0001368911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03853519,"threshold_uncertainty_score":0.07662177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04498882408076057,"score_gpt":0.3120311133908864,"score_spread":0.2670422893101259,"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."}}