{"id":"W6982234405","doi":"","title":"How information and messengers affect Farmers' cover crop adoption: A field experiment","year":2023,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Occupational and Professional Licensing Regulation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Cover (algebra); Affect (linguistics); Control (management); Field experiment; Private information retrieval; Production (economics); Second messenger system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002502537,0.0004695544,0.0007125387,0.0002356994,0.001489295,0.001002671,0.0008701792,0.001068533,0.004219357],"category_scores_gemma":[0.005158629,0.0004654397,0.0003121929,0.0003416715,0.001337998,0.0005362843,0.0004626697,0.001163312,0.0004613463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004398383,"about_ca_system_score_gemma":0.004570088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1532266,"about_ca_topic_score_gemma":0.270025,"domain_scores_codex":[0.9986809,0.0004783709,0.00004783248,0.000262637,0.000248068,0.0002820732],"domain_scores_gemma":[0.9919739,0.005270328,0.001003336,0.0005544396,0.0004679415,0.0007299948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.1140564,0.2135116,0.1951044,0.001328134,0.0005489515,0.001318737,0.02487636,0.003955984,0.357109,0.00337273,0.006283645,0.07853417],"study_design_scores_gemma":[0.01751426,0.1422043,0.7576766,0.0001190882,0.0007063046,0.0001380752,0.01476826,0.01046177,0.03795383,0.003154642,0.01503852,0.000264274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980217,0.00001368683,0.0001748095,0.00007770294,0.00001130151,0.0003025646,0.00009614442,0.000006776256,0.001295407],"genre_scores_gemma":[0.9864547,0.00007597951,0.002057754,0.000341402,0.00002648982,0.001235808,0.0002245857,0.000009094915,0.009574025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1532266,"threshold_uncertainty_score":0.3046695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074786405340006,"score_gpt":0.2255976832392657,"score_spread":0.2048498191858657,"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."}}