{"id":"W1978107791","doi":"10.1080/02606755.2003.9522181","title":"Commission Newsletter: 2003","year":2003,"lang":"en","type":"article","venue":"Parliaments Estates and Representation","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Commission; Library science; Political science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001832094,0.0000598347,0.0000729306,0.00002967266,0.0007562252,0.00008249189,0.00003163032,0.00003345649,0.0001482556],"category_scores_gemma":[0.0001349914,0.00004855329,0.0000187786,0.0002287158,0.0001429016,0.0001711673,0.00001339307,0.00004254926,0.00001482768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002509686,"about_ca_system_score_gemma":0.00003023533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001751847,"about_ca_topic_score_gemma":0.0002708226,"domain_scores_codex":[0.9992442,0.0001483985,0.0001175268,0.0001454901,0.0001802746,0.0001640818],"domain_scores_gemma":[0.9996645,0.00004366646,0.0000500592,0.00007761287,0.00007946499,0.0000846936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004556462,0.0003211682,0.4470821,0.00004402167,0.0001465835,0.00003291502,0.064234,0.0002207033,0.001139323,0.2429098,0.1564925,0.08733135],"study_design_scores_gemma":[0.0004812694,0.00002831684,0.02287753,0.00001662644,0.00002377222,0.000002589365,0.0150371,0.0001015547,0.0003507577,0.003933215,0.9569933,0.0001539085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5218398,0.001432018,0.001926017,0.009347341,0.001258438,0.0008552253,0.000009544537,0.0001242349,0.4632074],"genre_scores_gemma":[0.9851112,0.001238467,0.000902977,0.0001840511,0.00008023213,0.00001676892,0.000009498628,0.000006860149,0.01244991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8005009,"threshold_uncertainty_score":0.5816349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976572544255839,"score_gpt":0.3430779058010321,"score_spread":0.3133121803584737,"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."}}