{"id":"W4255829515","doi":"10.1111/caje.12294","title":"Issue Information","year":2018,"lang":"fr","type":"paratext","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Economics; Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001809831,0.0005886547,0.001229164,0.0007388237,0.001050943,0.0007330352,0.002051922,0.001053171,0.0225362],"category_scores_gemma":[0.0006401294,0.0007357946,0.0005952051,0.0005532205,0.002010724,0.003035832,0.00004146794,0.0008677706,0.009549227],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009059769,"about_ca_system_score_gemma":0.02356433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9164851,"about_ca_topic_score_gemma":0.9989841,"domain_scores_codex":[0.99559,0.0002396433,0.001885983,0.0004400002,0.00001173126,0.001832692],"domain_scores_gemma":[0.9904507,0.0002336528,0.003410661,0.000446137,0.0009120517,0.00454682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004042645,0.00001138561,0.001102713,0.00009306049,0.0002218698,0.00004592942,0.03026425,0.001590693,3.441769e-7,0.3664162,0.5800424,0.02017065],"study_design_scores_gemma":[0.0003659844,0.0004275788,0.0003979721,0.0003216895,0.00008087703,0.00009530961,0.006560549,0.000275777,0.000006771288,0.04278654,0.9479469,0.0007340221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8102635,0.001735351,0.0000407719,0.02018324,0.05102019,0.000428826,0.001146221,0.000005082454,0.1151768],"genre_scores_gemma":[0.6443083,0.006066832,0.0007406436,0.006380269,0.03635167,0.00003257367,0.0001292215,0.0001316834,0.3058589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3679045,"threshold_uncertainty_score":0.9995093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172519406099545,"score_gpt":0.2190025724568536,"score_spread":0.1017506318468992,"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."}}