{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007441366,0.0004006467,0.000332179,0.0001137053,0.0003978567,0.0001669603,0.0002513546,0.000206217,0.00008602435],"category_scores_gemma":[0.0001227681,0.0001899957,0.0001264537,0.0009604455,0.0003099198,0.002120533,0.00009185261,0.0003237604,0.00001774479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646483,"about_ca_system_score_gemma":0.000006966573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072898,"about_ca_topic_score_gemma":0.01027324,"domain_scores_codex":[0.9971612,0.0003109064,0.0007578188,0.0006058747,0.0004674807,0.0006966846],"domain_scores_gemma":[0.9990252,0.0001041248,0.00055198,0.0001241611,0.0000843645,0.0001101462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001157523,0.001206298,0.6088489,0.00006594851,0.00002426233,0.000001562543,0.00112572,0.00008925846,0.179206,0.000093845,0.00004580224,0.2091767],"study_design_scores_gemma":[0.0003277819,0.0003813151,0.9697157,0.0001305391,0.00005176694,0.0000126402,0.008697335,0.00001453478,0.01459279,0.0001973915,0.005494896,0.0003833013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942605,0.003282079,0.00001532222,0.0007290114,0.000190313,0.001133025,0.00001800722,0.0001152385,0.0002564647],"genre_scores_gemma":[0.9956464,0.001422217,0.00123296,0.00002741614,0.000460968,0.0002455369,0.0007948249,0.00000660438,0.0001630625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3608668,"threshold_uncertainty_score":0.7747799,"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."}}