{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001325721,0.0007814316,0.0009995293,0.002152495,0.003626707,0.007509746,0.001627749,0.00846313,0.4018222],"category_scores_gemma":[0.004781043,0.0008032144,0.000560544,0.002255053,0.0005154015,0.001670377,0.001390134,0.003745029,0.3179527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003098917,"about_ca_system_score_gemma":0.005107026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02935168,"about_ca_topic_score_gemma":0.09683393,"domain_scores_codex":[0.9984383,0.00007855747,0.00005018059,0.0001192385,0.001041172,0.0002725126],"domain_scores_gemma":[0.9975578,0.0003698546,0.0001067606,0.0001939062,0.001332551,0.0004390426],"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":[0.00001983916,0.00001982386,0.00004113794,0.00002049031,7.774469e-7,0.00002274556,0.00001319041,0.0000112567,0.00005160661,0.0007307664,0.9927289,0.00633944],"study_design_scores_gemma":[0.00001292493,0.00001104654,0.0006740609,0.00002783729,0.000002689527,0.00001331719,0.00003554181,0.00003648275,0.0000771856,0.0002059094,0.998898,0.000005005566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001854261,0.002926832,0.0004623013,0.02405449,0.01482374,0.0002905577,0.00633181,0.001455096,0.9478009],"genre_scores_gemma":[0.0009350812,0.0002555214,0.00007061477,0.002106472,0.0005496406,0.00003142255,0.0007262196,0.00009323451,0.9952318],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4018222,"threshold_uncertainty_score":0.853228,"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."}}