{"id":"W2070174438","doi":"10.1080/02606755.2000.9522113","title":"Commission Newsletter: 2000","year":2000,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001085703,0.00005963418,0.00007292704,0.00002435101,0.0007679585,0.00009081091,0.00004275775,0.00003316285,0.001204815],"category_scores_gemma":[0.00001343774,0.00004825474,0.0000262449,0.0001273664,0.0002034519,0.0002038514,0.00001337065,0.00004220408,0.00005219624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003072722,"about_ca_system_score_gemma":0.00002242232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00551331,"about_ca_topic_score_gemma":0.0003842087,"domain_scores_codex":[0.9993005,0.00008311662,0.000120464,0.000148539,0.0001854816,0.0001619132],"domain_scores_gemma":[0.9997383,0.00004112897,0.00003183948,0.00007874825,0.00002687943,0.00008305004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007300205,0.0001550025,0.06394038,0.00001665879,0.00006494386,0.00001854181,0.06112137,0.0003537535,0.0002616346,0.005061827,0.05026531,0.8186676],"study_design_scores_gemma":[0.0004596987,0.00003214709,0.05234811,0.00002109452,0.00002305193,0.00000222435,0.006298055,0.0003595033,0.00008133263,0.002647829,0.9375765,0.0001504193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7484354,0.0005252134,0.00008156487,0.01418913,0.0001990317,0.0003225773,0.000007324707,0.00007758721,0.2361621],"genre_scores_gemma":[0.9573931,0.002412103,0.0002652808,0.0002248836,0.0001754141,0.00001354859,0.00001590147,0.000006315712,0.03949342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8873112,"threshold_uncertainty_score":0.9997082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087253704200676,"score_gpt":0.3330691650934218,"score_spread":0.3121966280514151,"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."}}