{"id":"W4210906047","doi":"10.1186/s40100-022-00210-1","title":"Nonfarm activity and market participation by farmers in Ghana","year":2022,"lang":"en","type":"article","venue":"Agricultural and Food Economics","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Department for International Development; International Development Research Centre; Government of Canada","keywords":"Nonfarm payrolls; Agriculture; Work (physics); Probit model; Probit; Economics; Selection bias; Agricultural economics; Business; Demographic economics; Geography; Econometrics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005728624,0.0001372541,0.0001759723,0.0004838899,0.0002975406,0.0006135575,0.0002086072,0.0002482083,0.006973735],"category_scores_gemma":[0.002433809,0.0001181088,0.0001030725,0.0008888735,0.0003903747,0.0005320163,0.0004046319,0.0002708084,0.000461943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003862992,"about_ca_system_score_gemma":0.0002601448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01255156,"about_ca_topic_score_gemma":0.02411195,"domain_scores_codex":[0.9996201,0.0001591831,0.00001971912,0.00004929707,0.00005370476,0.00009795761],"domain_scores_gemma":[0.9958812,0.001202335,0.002154511,0.00007576356,0.0001484788,0.0005376678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006017173,0.00008392219,0.9929059,0.00002169987,0.00001215205,0.0002015802,0.002071043,0.00006885808,0.0003492273,0.00009633985,0.0002160576,0.003913251],"study_design_scores_gemma":[0.000002402935,0.00004564366,0.9949396,0.000009651503,0.000002424832,0.00006448142,0.004197988,0.0001172072,0.00003980051,0.000056996,0.0005220094,0.000001890944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991359,0.00005983936,0.00002427265,0.00007866861,0.000001169956,0.000003765183,0.0001247829,0.000001011749,0.0005706839],"genre_scores_gemma":[0.9994204,0.00005403188,0.00002124223,0.000007847887,0.00000222083,0.000002968626,0.00006120653,6.472421e-7,0.0004293258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01255156,"threshold_uncertainty_score":0.024957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176395838404235,"score_gpt":0.1868706552880398,"score_spread":0.1751066969039974,"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."}}