{"id":"W3012282873","doi":"10.26524/jms.2017.45","title":"Tops and gst toes in","year":2017,"lang":"en","type":"article","venue":"Journal of Management and Science","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPS; Commission; State (computer science); Consumption (sociology); Agricultural economics; Production (economics); Commerce; Business; Economics; Political science; Finance; Engineering; Art; Computer science; Macroeconomics","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":[0.001115164,0.00002457353,0.00005396397,0.00008513158,0.0005644299,0.000363774,0.0002931754,0.000009337059,0.000007692931],"category_scores_gemma":[0.000142415,0.00002066182,0.00000903297,0.00007343032,0.0006599849,0.0006285808,0.00006300893,0.00004141349,5.756818e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003027846,"about_ca_system_score_gemma":0.00005251928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003039218,"about_ca_topic_score_gemma":0.008581767,"domain_scores_codex":[0.9994912,0.000009812618,0.00008064283,0.00006115348,0.0002287166,0.0001285218],"domain_scores_gemma":[0.9996853,0.00001333057,0.0001226577,0.0000672697,0.0000218411,0.00008963854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002181908,0.00002864372,0.1867557,0.00002448825,0.00000752619,0.0001837261,0.01088924,0.000003433722,0.00009464389,0.6136047,0.01123308,0.1771531],"study_design_scores_gemma":[0.0001826616,0.00001751832,0.8282917,0.00003670937,0.000002967731,0.00000282299,0.0008008467,0.00001378574,0.00001181657,0.006221442,0.1643773,0.00004043498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9269739,0.0001960828,0.000007478694,0.01125451,0.0001443249,0.00003720228,6.300251e-7,8.395569e-7,0.06138501],"genre_scores_gemma":[0.9948481,0.000841509,0.0001698376,0.0003021949,0.00007086077,1.927496e-7,2.725995e-9,6.193324e-7,0.003766673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6415359,"threshold_uncertainty_score":0.4788827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244982621354675,"score_gpt":0.3187569218191518,"score_spread":0.2942586596836843,"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."}}