{"id":"W2627040829","doi":"10.1017/s1049096517000506","title":"Digging into Dissatisfaction with Democracy: The Case of Quebec","year":2017,"lang":"en","type":"article","venue":"PS Political Science & Politics","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Digging; Democracy; Content (measure theory); Psychology; Political science; Computer science; Internet privacy; Mathematics; Geography; Law; Archaeology; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002837172,0.0001453599,0.0002481767,0.00007696619,0.008271109,0.0001332118,0.0005622098,0.0001094176,0.00008568463],"category_scores_gemma":[0.004624847,0.0000827933,0.00003953358,0.0001283546,0.002416824,0.0008728857,0.0002328593,0.0006069003,0.00006156337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005655218,"about_ca_system_score_gemma":0.002611212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5173419,"about_ca_topic_score_gemma":0.08233877,"domain_scores_codex":[0.996652,0.0004868309,0.0005196719,0.0003034883,0.0004536621,0.001584335],"domain_scores_gemma":[0.9955321,0.001755799,0.0004470404,0.0009979177,0.0004586616,0.0008084885],"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":[0.000006181032,0.0000162143,0.08798902,0.0001476428,0.000005088082,0.00005668105,0.002654477,3.991982e-7,0.00006114235,0.9059675,0.00007086383,0.003024745],"study_design_scores_gemma":[0.0006846908,0.0002770217,0.7894831,0.0006752854,0.00009550094,0.0006238889,0.04678733,0.001068397,0.0006241314,0.1316645,0.02753274,0.0004834065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9082461,0.0000174439,0.0003978049,0.05126818,0.0006419499,0.000459469,0.0000219549,0.0000388577,0.03890824],"genre_scores_gemma":[0.9967914,0.000002803671,0.0004292645,0.001053972,0.0005115207,0.00002540862,7.863197e-7,0.00001410221,0.001170743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.774303,"threshold_uncertainty_score":0.99302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1020382621317292,"score_gpt":0.5145079172813193,"score_spread":0.4124696551495901,"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."}}