{"id":"W2116772792","doi":"10.19030/jbcs.v9i3.7794","title":"Cranberries Of Wisconsin: Analyzing The Economic Impact","year":2013,"lang":"en","type":"article","venue":"Journal of Business Case Studies (JBCS)","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic impact analysis; Economics; Business; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003444041,0.0001003551,0.0002723691,0.00002406462,0.0002319864,0.00007182451,0.0001667523,0.00003111123,0.0005664181],"category_scores_gemma":[0.0001437589,0.00002716959,0.0001428238,0.0002835329,0.0002042723,0.0001795573,0.00008610638,0.0001069136,0.00001045635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005362067,"about_ca_system_score_gemma":0.00004404084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006196529,"about_ca_topic_score_gemma":0.000348531,"domain_scores_codex":[0.9991501,0.00006310607,0.0003957356,0.00008209277,0.0001482025,0.0001607929],"domain_scores_gemma":[0.9983796,0.0003187759,0.0003463905,0.00004965583,0.000852768,0.00005282772],"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":[0.000343545,0.0003661596,0.14953,0.0001816561,0.003638239,0.0009415389,0.005100737,0.009932407,0.3031445,0.0007262786,0.07511625,0.4509786],"study_design_scores_gemma":[0.0005423043,0.0005295917,0.9664319,0.0001356856,0.0001183749,0.002730211,0.01910158,0.0003897928,0.002890764,0.001757358,0.005068256,0.0003042041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937307,0.002241925,0.000003394784,0.003659486,0.0001392928,0.00009231277,0.00001026796,0.000002561859,0.000120047],"genre_scores_gemma":[0.9986314,0.000926994,0.00003584764,0.00004172492,0.0002841631,0.000002901651,8.374174e-7,8.313158e-7,0.0000753051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8169019,"threshold_uncertainty_score":0.6201881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05117943361344263,"score_gpt":0.3092908809438524,"score_spread":0.2581114473304098,"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."}}