{"id":"W1640421576","doi":"10.15353/cgjsc-rcessc.v4i1.145","title":"Entire Issue / Numéro complet","year":2015,"lang":"en","type":"article","venue":"Canadian Graduate Journal of Sociology and Criminology","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":[],"consensus_categories":[],"category_scores_codex":[0.001074664,0.00008296761,0.0002581324,0.00007726876,0.0004301748,0.00002381445,0.0003001405,0.0002267832,0.0001570539],"category_scores_gemma":[0.000485436,0.00007522888,0.00005851995,0.00008054484,0.002034683,0.0001552153,0.00001780326,0.0002940832,0.00003150628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996717,"about_ca_system_score_gemma":0.001779573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1629936,"about_ca_topic_score_gemma":0.2364631,"domain_scores_codex":[0.9986805,0.0003212041,0.0002414201,0.0001181605,0.0001738354,0.0004648213],"domain_scores_gemma":[0.9986033,0.0001033837,0.0002287766,0.00006071034,0.0002756769,0.0007280951],"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":[0.00003812841,0.00003032415,0.0612859,0.000008965834,0.00009455907,0.0003542219,0.1484738,0.000003335909,0.0000210349,0.3585231,0.4192342,0.01193241],"study_design_scores_gemma":[0.0005966801,0.0003173388,0.04589783,0.00001377572,0.00004347881,0.0001377472,0.1134159,0.000004183542,0.00000649817,0.2012488,0.6381226,0.0001950962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250531,0.001773165,0.00001898625,0.05801232,0.001953073,0.00005767224,0.000007115467,0.00000728865,0.01311734],"genre_scores_gemma":[0.9949124,0.0004930961,0.0001091886,0.00266569,0.0009755106,0.000001032282,8.231627e-7,0.000004275137,0.0008379498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2188885,"threshold_uncertainty_score":0.8425801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2911759150418184,"score_gpt":0.3617634172425308,"score_spread":0.07058750220071242,"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."}}