{"id":"W7095163575","doi":"","title":"Francophone minority economic development in Canada: Addressing political or economic issues?" Economic Development Quarterly","year":2010,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Context (archaeology); French; Local economic development; Latin Americans; Economic impact analysis","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":[0.0008800484,0.0002073947,0.0001762662,0.001471227,0.006592005,0.003287484,0.0007164464,0.0005379454,0.004328749],"category_scores_gemma":[0.002121897,0.00009057858,0.0001330419,0.002545385,0.001739625,0.0007503994,0.001374151,0.0007597557,0.000158561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06810154,"about_ca_system_score_gemma":0.1228449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958376,"about_ca_topic_score_gemma":0.9982325,"domain_scores_codex":[0.9990129,0.00005837491,0.00001064773,0.00003963647,0.0002116258,0.0006668534],"domain_scores_gemma":[0.997884,0.0001392092,0.0001940968,0.00002692494,0.000646872,0.001108853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002792559,0.0002239818,0.4372469,0.0004913172,0.00006954915,0.001281841,0.03579403,0.001840905,0.001543187,0.1408014,0.1076411,0.2727864],"study_design_scores_gemma":[0.00002482257,0.00004577468,0.6555733,0.0005455506,0.00004893463,0.000144324,0.0659228,0.001428389,0.0006306068,0.002801619,0.272783,0.00005089683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8179625,0.015777,0.0005720411,0.05768407,0.0002104396,0.00007171065,0.001364488,0.00002489765,0.1063328],"genre_scores_gemma":[0.9794133,0.005147578,0.0003387545,0.00112852,0.00003785002,0.00001303394,0.0002903926,0.000005602254,0.01362493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06810154,"threshold_uncertainty_score":0.4941136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04913820197159545,"score_gpt":0.2365550418289458,"score_spread":0.1874168398573503,"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."}}