{"id":"W1990875690","doi":"10.1080/02606755.2002.9522155","title":"Commission Newsletter: 2002","year":2002,"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":[0.00009406545,0.00005986894,0.00007311664,0.00003318497,0.0007650126,0.00009159151,0.00004279225,0.00003350349,0.0008145427],"category_scores_gemma":[0.00003628807,0.0000486043,0.00002664127,0.0001338364,0.00015517,0.0002036353,0.00002731186,0.0000447463,0.00006313386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002228908,"about_ca_system_score_gemma":0.000003838433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001971362,"about_ca_topic_score_gemma":0.0002630844,"domain_scores_codex":[0.9992962,0.00007833615,0.0001197521,0.0001459999,0.0001968543,0.0001628369],"domain_scores_gemma":[0.9996899,0.00005720411,0.00005081021,0.00008010063,0.00003759461,0.00008438381],"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":[0.0000216275,0.0002802401,0.1116105,0.00002991984,0.00009392171,0.00002910817,0.07578765,0.0001522838,0.0005554742,0.009437163,0.5413653,0.2606369],"study_design_scores_gemma":[0.0005738356,0.0000419183,0.03011613,0.00002528304,0.00002988979,0.000002911761,0.01100237,0.00213531,0.00009943004,0.001216068,0.9545631,0.0001937256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4102838,0.00297129,0.0007119902,0.05764043,0.0009330536,0.0007993901,0.000014597,0.0001980314,0.5264474],"genre_scores_gemma":[0.9669949,0.002789688,0.0003113626,0.0001982314,0.0001838023,0.00001349221,0.000005268027,0.000006420082,0.0294968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5567111,"threshold_uncertainty_score":0.8918672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.053315870778429,"score_gpt":0.3285035250945125,"score_spread":0.2751876543160835,"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."}}