{"id":"W4206703138","doi":"10.3386/w29061","title":"Mechanizing Agriculture","year":2021,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Sloan School of Management, Massachusetts Institute of Technology; Agricultural Technology Adoption Initiative","keywords":"Agriculture; Computer science; Geography; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002357063,0.0002533896,0.0005484814,0.00007573604,0.0002381955,0.000140642,0.0006416325,0.0005951105,0.00285828],"category_scores_gemma":[0.0005094355,0.00009957531,0.0003465915,0.0003174802,0.00009000327,0.0001328263,0.000319066,0.0007257708,0.0002474871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173009,"about_ca_system_score_gemma":0.0008178233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005538487,"about_ca_topic_score_gemma":0.00365576,"domain_scores_codex":[0.9970711,0.0001486256,0.000647242,0.0006009348,0.001045468,0.0004866586],"domain_scores_gemma":[0.9962863,0.0007668597,0.0003596614,0.00008857474,0.002335933,0.0001627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001839907,0.0001255007,0.0003033212,0.00009911655,0.0002640712,0.000008325522,0.00004334896,0.00006614633,0.03898298,0.2028358,0.741646,0.01560695],"study_design_scores_gemma":[0.0001588219,0.0001712464,0.004539563,0.0001900859,0.00002092782,0.00008319126,0.0003245632,0.00003995267,0.003627662,0.09210383,0.8981605,0.0005796147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05311666,0.002014813,7.469603e-8,0.003634457,0.0007693216,0.0004800256,0.0006613869,0.00003179064,0.9392915],"genre_scores_gemma":[0.9294272,0.005973187,0.00009203896,0.0001159037,0.009348481,0.0001073534,0.006658591,0.000006543406,0.04827068],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8910208,"threshold_uncertainty_score":0.9980533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4388127525690164,"score_gpt":0.4856423744895364,"score_spread":0.04682962192051998,"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."}}