{"id":"W3036862134","doi":"10.1007/978-3-030-51310-8_13","title":"Analysis and Multilabel Classification of Quebec Court Decisions in the Domain of Housing Law","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Unit on Children's Psychosocial Maladjustment; Concordia University; Université de Montréal","funders":"","keywords":"Landlord; Renting; Computer science; Perspective (graphical); Autonomy; Tribunal; Jurisdiction; Law; Domain (mathematical analysis); Order (exchange); Operations research; Artificial intelligence; Business; Political science; Mathematics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001983949,0.0006278184,0.0006291835,0.003177095,0.001771144,0.002551199,0.001368836,0.001101535,0.004771466],"category_scores_gemma":[0.00784396,0.0002028686,0.0006229963,0.002659063,0.0008569084,0.001347197,0.0008209199,0.001607037,0.0007520449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006925849,"about_ca_system_score_gemma":0.004608065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5310226,"about_ca_topic_score_gemma":0.7452801,"domain_scores_codex":[0.9984994,0.0005684762,0.0000685354,0.0002240164,0.000322238,0.0003173442],"domain_scores_gemma":[0.9945334,0.003608839,0.0002771134,0.0002762687,0.001116345,0.000188034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001088236,0.0007316573,0.09983267,0.00041447,0.0003161558,0.0007803191,0.001701454,0.20348,0.004083271,0.05266055,0.09540416,0.5395071],"study_design_scores_gemma":[0.0000227527,0.00003428208,0.02518185,0.0000583259,0.00004429616,0.00006811294,0.0009903137,0.941756,0.00115268,0.02319222,0.007472953,0.00002634064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8411949,0.003711612,0.1162931,0.004147305,0.0002115348,0.0002636634,0.009259958,0.001082882,0.02383514],"genre_scores_gemma":[0.9469073,0.0003843289,0.02929765,0.0002418367,0.0001059276,0.00007767444,0.009832599,0.00009558713,0.01305724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4689774,"threshold_uncertainty_score":0.9434786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06097037605028883,"score_gpt":0.3376735901695853,"score_spread":0.2767032141192965,"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."}}