{"id":"W4395116400","doi":"10.5539/sar.v13n1p101","title":"Between Professionalism and Amateurism in the Use of the Agricultural Training Videos: Lessons Learnt from Experimental Auctions in Benin","year":2024,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Agriculture; Common value auction; Business; Agricultural economics; Agroforestry; Marketing; Economics; Geography; Environmental science; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005167243,0.0003252429,0.0003298532,0.0004780509,0.001761176,0.001363359,0.0009105356,0.0007314396,0.004536549],"category_scores_gemma":[0.00783645,0.0002196644,0.0002741782,0.0004937041,0.00167235,0.001249223,0.001115619,0.001214306,0.0004287764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003744866,"about_ca_system_score_gemma":0.001278296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013342,"about_ca_topic_score_gemma":0.0378835,"domain_scores_codex":[0.9968359,0.002142359,0.00005388491,0.000198701,0.0002645525,0.0005045842],"domain_scores_gemma":[0.9872261,0.00971432,0.001013002,0.0002185061,0.0007801902,0.00104787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007318013,0.08600269,0.6124266,0.0006922374,0.0001687829,0.003390776,0.1378799,0.002544092,0.003245765,0.007444148,0.00646818,0.1324188],"study_design_scores_gemma":[0.0003639747,0.01165978,0.8014405,0.0002636708,0.00006770961,0.0002879185,0.1696443,0.00421431,0.001738905,0.001895759,0.008346928,0.00007626232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982326,0.00003731392,0.00006320678,0.0001248209,0.000003915699,0.00003755579,0.00001292106,6.648659e-7,0.001486929],"genre_scores_gemma":[0.99754,0.00007647652,0.0001645374,0.0000717688,0.000008622105,0.00009230118,0.00003966006,0.000002422999,0.002004155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02013342,"threshold_uncertainty_score":0.04003251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1968190005374813,"score_gpt":0.3729867822204054,"score_spread":0.1761677816829241,"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."}}