{"id":"W4308630852","doi":"10.1002/jid.3716","title":"Crop appropriation, labour supply, and demand for farm inputs: Evidence from Nigeria","year":2022,"lang":"en","type":"article","venue":"Journal of International Development","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Appropriation; Agriculture; Obligation; Crop; Developing country; Economics; Agricultural economics; Affect (linguistics); Business; Economic growth; Geography; Sociology; Political science; Agronomy; Biology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009024455,0.00009163123,0.0002309922,0.0002095438,0.0002218351,0.00006260596,0.0002955872,0.00003524802,0.000411984],"category_scores_gemma":[0.0001624428,0.00009905353,0.00006300618,0.00009009077,0.00001583378,0.0001740314,0.000205547,0.0001347751,0.00001241285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003205006,"about_ca_system_score_gemma":0.0001085152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000469934,"about_ca_topic_score_gemma":0.00001915548,"domain_scores_codex":[0.9987866,0.00001150743,0.0007978978,0.0001784224,0.0001091513,0.0001164779],"domain_scores_gemma":[0.9988806,0.00006595071,0.0007686628,0.00006758489,0.0001757529,0.00004144426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001091465,0.0005194358,0.8486909,0.00007508377,0.0005331932,0.00004498511,0.01584105,0.00096464,0.0115035,0.07116226,0.01268916,0.03688433],"study_design_scores_gemma":[0.000859591,0.00009866893,0.2733573,0.00006087161,0.000003310714,0.00002522922,0.0001114414,0.0001157527,0.001925767,0.01589712,0.7073736,0.0001713805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302234,0.00379095,0.06166419,0.002219932,0.001645676,0.000135275,0.0001576423,0.00000352669,0.0001594161],"genre_scores_gemma":[0.9721509,0.0009335272,0.02503102,0.0006245871,0.000289351,0.00003228075,0.00002252275,0.00001261861,0.000903168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6946844,"threshold_uncertainty_score":0.4510936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535226342649542,"score_gpt":0.2380269056304037,"score_spread":0.2126746422039083,"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."}}