{"id":"W2088130369","doi":"10.1111/j.1746-692x.2012.00222.x","title":"Adoption of Agri‐environmental Programmes in Swiss Crop Production 
L’adoption des programmes agroenvironnementaux dans les grandes cultures suisses 
Die Adoption von Agrarumweltprogrammen in der Schweizer Getreideproduktion","year":2012,"lang":"en","type":"article","venue":"EuroChoices","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Production (economics); Crop production; Crop; Business; Agricultural science; Agricultural economics; Geography; Agriculture; Environmental science; Economics; Forestry","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":[0.0005006102,0.0002450001,0.00009772854,0.0007785978,0.000211282,0.0007140941,0.0001347413,0.0002496454,0.004079442],"category_scores_gemma":[0.001035101,0.00009067616,0.0003085598,0.00080276,0.0003623292,0.0003046031,0.0004920273,0.0003855417,0.0002602527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265731,"about_ca_system_score_gemma":0.0006880429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03886924,"about_ca_topic_score_gemma":0.04713696,"domain_scores_codex":[0.9994923,0.000135686,0.00002527676,0.00008924715,0.0001201687,0.0001372574],"domain_scores_gemma":[0.9981014,0.0004251433,0.0009942332,0.00006579441,0.0001597497,0.0002537062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001705402,0.0001341939,0.9730527,0.00007237391,0.00006758334,0.0004835979,0.00197943,0.002630392,0.003812691,0.0008034815,0.0007335949,0.01605946],"study_design_scores_gemma":[0.000003267963,0.0000738346,0.9980719,0.00001061305,0.000005665013,0.00003927905,0.000516119,0.0003570643,0.0001476938,0.00001597976,0.0007542327,0.000004351024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983125,0.000118275,0.00006018145,0.00009035933,0.000001865454,0.000003980523,0.0003445276,0.000004612752,0.001063748],"genre_scores_gemma":[0.9991036,0.0000891184,0.00004433604,0.000004808377,0.000002461806,0.00000574055,0.0002527634,8.789686e-7,0.0004962888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03886924,"threshold_uncertainty_score":0.07728601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163002802180357,"score_gpt":0.263666004077471,"score_spread":0.2320359760556675,"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."}}