{"id":"W2713423665","doi":"","title":"Law as Information Processes","year":2013,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Data science; Computer science; Function (biology); Information system; Management science; Epistemology; Political science; Engineering; Law; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003709998,0.0006169848,0.0006998469,0.002196798,0.002640141,0.01029226,0.001423673,0.003241565,0.007587382],"category_scores_gemma":[0.005492422,0.0003587925,0.000679587,0.002395204,0.01992765,0.01444206,0.002825695,0.003620897,0.00136815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007714138,"about_ca_system_score_gemma":0.004980003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202433,"about_ca_topic_score_gemma":0.004970625,"domain_scores_codex":[0.9969999,0.001012688,0.0001802226,0.0005235306,0.001010824,0.0002728352],"domain_scores_gemma":[0.99628,0.002321007,0.0002851328,0.0005243318,0.0004262052,0.0001632042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[5.433268e-7,0.000001285324,0.00001085441,0.000007668375,6.633063e-7,0.000007262882,0.0001272649,0.0001682367,0.00001355583,0.9984519,0.0003306079,0.0008800313],"study_design_scores_gemma":[0.000003603071,0.000002930746,0.0000345993,0.00003901458,0.000001916448,0.00001758481,0.00009971694,0.0006393724,0.0000351201,0.95919,0.0399324,0.00000369257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01196736,0.02919452,0.2450869,0.04791593,0.001125457,0.0002252707,0.000467321,0.0002928098,0.6637244],"genre_scores_gemma":[0.8024784,0.02841279,0.07691038,0.005945185,0.002337904,0.0006635794,0.0004846967,0.000171669,0.08259529],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01202433,"threshold_uncertainty_score":0.05597025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00283639267237722,"score_gpt":0.1468500785113325,"score_spread":0.1440136858389553,"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."}}