{"id":"W3125090005","doi":"10.2139/ssrn.3174824","title":"Money Matters: The Role of Yields and Profits in Agricultural Technology Adoption","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Agriculture; Economics; Business; Agricultural economics; Industrial organization; Commerce; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001992126,0.0003129561,0.0004734606,0.0005597539,0.0005834386,0.003495803,0.0004416306,0.001700238,0.01066099],"category_scores_gemma":[0.02006741,0.0002307882,0.0003721213,0.00083721,0.001723299,0.003411684,0.001254167,0.002010575,0.0007945467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008693078,"about_ca_system_score_gemma":0.0008672411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002974921,"about_ca_topic_score_gemma":0.003400682,"domain_scores_codex":[0.9990158,0.0005138038,0.00004372725,0.0001215793,0.0001211781,0.0001838736],"domain_scores_gemma":[0.9701323,0.02311867,0.004299385,0.0004036278,0.0006661712,0.001379933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003356186,0.001087766,0.7612563,0.0002784551,0.0004028889,0.002216016,0.003398505,0.01279299,0.004481793,0.1083765,0.00361258,0.09873996],"study_design_scores_gemma":[0.0001193055,0.0005234306,0.8406404,0.0001272389,0.0003049864,0.0004007067,0.006295282,0.01556053,0.001583302,0.1289948,0.005350509,0.00009958602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781095,0.002065895,0.0009653335,0.004565289,0.0000481826,0.000008185759,0.0001255796,0.00001489532,0.01409725],"genre_scores_gemma":[0.9980557,0.0002997977,0.00005391658,0.00007287383,0.00003296522,0.000001844706,0.00001953594,0.000005219258,0.001458196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066099,"threshold_uncertainty_score":0.03566462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007957481823550772,"score_gpt":0.2159585413165902,"score_spread":0.2080010594930394,"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."}}