{"id":"W7071151206","doi":"","title":"Shades of Brown - A Comment on the Legacy of the David Brown Years at the Ontario Securities Commission","year":2005,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Commission; Government (linguistics); Feature (linguistics); George (robot)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007162674,0.0005822673,0.0009458511,0.00104576,0.02502864,0.01161973,0.00305245,0.03861562,0.01263056],"category_scores_gemma":[0.02816025,0.001056104,0.001028698,0.002125605,0.01830959,0.005868097,0.00364739,0.03659703,0.002611246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03473264,"about_ca_system_score_gemma":0.04597105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8415267,"about_ca_topic_score_gemma":0.9303408,"domain_scores_codex":[0.9907589,0.001163767,0.0002585008,0.001242766,0.004234253,0.002341767],"domain_scores_gemma":[0.985322,0.006331082,0.0007512096,0.0006673293,0.004766209,0.002162216],"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":[0.00002304393,0.000007009279,0.0005325917,0.00002118416,0.000009079205,0.0000943678,0.001731032,0.00003964171,0.00008601863,0.1122454,0.8831536,0.002057051],"study_design_scores_gemma":[0.00002067925,0.000008042151,0.001798548,0.0001160281,0.00001542785,0.00003179095,0.002815325,0.00005967975,0.0001691777,0.009978293,0.9849228,0.00006432907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002835081,0.003379336,0.0003035633,0.9220112,0.006485432,0.00001754571,0.0001998805,0.00004135224,0.06472675],"genre_scores_gemma":[0.03750839,0.001612667,0.0002296144,0.8332778,0.003243588,0.00003294336,0.00004542323,0.000106644,0.1239429],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1584733,"threshold_uncertainty_score":0.318813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887863329022429,"score_gpt":0.2336468422754644,"score_spread":0.2147682089852401,"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."}}