{"id":"W3134060628","doi":"10.33423/jabe.v22i7.3252","title":"From Individual Farms to Agriholdings: Methodological Implications. An Explorative Regional Case Study in East Germany","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Agriculture; Representation (politics); Regional science; Statistical evidence; Economics; Business; Statistical analysis; Economic geography; Industrial organization; Econometrics; Geography; Computer science; Political science; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002938712,0.000143212,0.0003629178,0.00002275858,0.0000978369,0.0001461733,0.0002182271,0.00007236578,0.00003863272],"category_scores_gemma":[0.00001750206,0.00005988535,0.00004258646,0.0001958328,0.00002855831,0.0002825034,0.0001039833,0.0001491083,0.000005083648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002989644,"about_ca_system_score_gemma":0.00001461143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003764945,"about_ca_topic_score_gemma":0.0005848767,"domain_scores_codex":[0.9990406,0.00003527772,0.0004787394,0.0002508048,0.00003947937,0.0001550923],"domain_scores_gemma":[0.9992269,0.0001263087,0.0002976922,0.00003403121,0.00006674422,0.0002483374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002904567,0.00267108,0.07851697,0.0000284117,0.0005712523,0.0007348321,0.09818613,0.01250359,0.06734909,0.01150079,0.002902272,0.722131],"study_design_scores_gemma":[0.0008461863,0.000662503,0.9200044,0.000008823544,0.00004323384,0.0003719117,0.06828161,0.0001395347,0.00006502174,0.004224046,0.004941708,0.0004110683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990665,0.00001923971,0.00001102879,0.0089308,0.00003950384,0.0002068834,0.00006003462,0.000006516792,0.00006104002],"genre_scores_gemma":[0.9963667,0.00006697454,0.0007159337,0.001889596,0.0009265508,0.00001249525,0.00001942174,0.00000136962,8.931273e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8414874,"threshold_uncertainty_score":0.2442054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2193849649410271,"score_gpt":0.3027405566520421,"score_spread":0.08335559171101503,"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."}}