{"id":"W6999107610","doi":"","title":"CANLII: Canadian Legal Information Institute","year":2007,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Access to information; Information access; Legislation; Information system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002687323,0.001251497,0.001410855,0.0135871,0.01527246,0.01607397,0.00349559,0.003352636,0.3797893],"category_scores_gemma":[0.01564939,0.001159036,0.0006126869,0.01611553,0.002015632,0.00527509,0.002660865,0.00385212,0.148185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07727003,"about_ca_system_score_gemma":0.1924029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9699627,"about_ca_topic_score_gemma":0.9812871,"domain_scores_codex":[0.9936547,0.0001475596,0.0001860311,0.0003944217,0.004692577,0.0009245632],"domain_scores_gemma":[0.9793634,0.0009974492,0.0003421087,0.0008717314,0.01602476,0.002400539],"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":[0.000006758732,0.000008808358,0.0002132585,0.00006320969,0.000002053631,0.00002251321,0.0000909554,0.00004653622,0.00003683179,0.01801262,0.9594017,0.02209477],"study_design_scores_gemma":[0.000003105839,0.00000144254,0.0009493658,0.00013717,0.00000385457,0.00001267,0.000145923,0.0001864747,0.00007295152,0.001948078,0.9965171,0.00002180396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000395334,0.002429384,0.000969771,0.007441657,0.0005099732,0.0001772215,0.03632763,0.002020318,0.9497288],"genre_scores_gemma":[0.0106825,0.006432876,0.005622421,0.002466725,0.0001876957,0.0002374139,0.0354868,0.0008904764,0.937993],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3797893,"threshold_uncertainty_score":0.8846553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834646216917605,"score_gpt":0.2634932074984188,"score_spread":0.2451467453292428,"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."}}