{"id":"W7027903632","doi":"","title":"Economic Torts in Canada, 2nd ed.","year":2016,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Tort; Legislation; Liability","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":[0.0008272703,0.001629928,0.0007211406,0.004943009,0.009347484,0.007086199,0.001990427,0.004711202,0.03903064],"category_scores_gemma":[0.002570924,0.001016086,0.0008772225,0.00672526,0.004320243,0.003136036,0.001411409,0.002890144,0.005866328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08744805,"about_ca_system_score_gemma":0.1157253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9783189,"about_ca_topic_score_gemma":0.9923944,"domain_scores_codex":[0.9984995,0.00006834116,0.00005066252,0.00008152048,0.0009331722,0.0003667343],"domain_scores_gemma":[0.9989441,0.0001148189,0.0000537523,0.00003407316,0.0006905345,0.0001627297],"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":[0.000006900621,0.0000184791,0.0005217192,0.0001256838,0.000005719108,0.0001331957,0.0005499758,0.0004036486,0.00005715943,0.06757905,0.8946337,0.03596479],"study_design_scores_gemma":[0.000004035549,0.000004103062,0.00397227,0.0004442961,0.000009027274,0.000129434,0.0008114141,0.0001955022,0.00005878343,0.009506117,0.984844,0.0000209415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002273019,0.420292,0.001551627,0.0486749,0.003033557,0.00009285299,0.0058119,0.0003117097,0.5179584],"genre_scores_gemma":[0.05243025,0.2847115,0.002003507,0.01370306,0.001483615,0.0001242001,0.003029805,0.0002290318,0.6422851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08744805,"threshold_uncertainty_score":0.634483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190241126024989,"score_gpt":0.2567525308883326,"score_spread":0.2448501196280827,"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."}}