{"id":"W2151607275","doi":"","title":"Perfil de mercado de las provincias de Canadá a 2012","year":2013,"lang":"es","type":"dissertation","venue":"reponame:Repositorio Institucional EdocUR","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003500895,0.0002973549,0.0002146508,0.001592043,0.004002351,0.002444013,0.000466691,0.0003607821,0.008267003],"category_scores_gemma":[0.001325925,0.0001455389,0.0002972644,0.003390199,0.0005864193,0.0005009717,0.0009418969,0.000623497,0.0004857305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02259986,"about_ca_system_score_gemma":0.02765543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893518,"about_ca_topic_score_gemma":0.9962806,"domain_scores_codex":[0.9992982,0.00003382992,0.00001356315,0.00006952911,0.0003573385,0.0002274382],"domain_scores_gemma":[0.9983511,0.00006089657,0.0001376438,0.00003616477,0.001118594,0.0002956036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005506941,0.00009734178,0.7372346,0.0004344823,0.0002158162,0.001422824,0.02244467,0.001205018,0.004056728,0.01261414,0.07840183,0.1413219],"study_design_scores_gemma":[0.000008279016,0.00003473411,0.859699,0.0001157688,0.00004516774,0.0001387699,0.01811759,0.0003728482,0.0008797793,0.0002079054,0.120316,0.00006428968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8711931,0.003994739,0.0005384677,0.003299547,0.0001042268,0.00007843955,0.02067649,0.0001282086,0.09998675],"genre_scores_gemma":[0.9342333,0.002051614,0.000687139,0.000386797,0.00001759673,0.00002649726,0.005799071,0.00003547958,0.05676243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02259986,"threshold_uncertainty_score":0.1639742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313663509369881,"score_gpt":0.2276177440774616,"score_spread":0.2044811089837628,"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."}}