{"id":"W2795752122","doi":"","title":"On Lemons and Leather: Liability for Misrepresentations of Forward-Looking Information under Ontario Securities Law","year":2009,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Liability; Law; Securities fraud; Business; Tort; Political science; Supreme court","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":[0.006551019,0.000510307,0.0004425356,0.001425649,0.008672329,0.008215134,0.002114754,0.01040689,0.01002903],"category_scores_gemma":[0.03222872,0.0005046396,0.0005446907,0.001498524,0.01000917,0.0062433,0.003409246,0.005168677,0.001169378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0262243,"about_ca_system_score_gemma":0.02879875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.611323,"about_ca_topic_score_gemma":0.701845,"domain_scores_codex":[0.9936181,0.001366949,0.0002354749,0.0005338236,0.002596047,0.00164955],"domain_scores_gemma":[0.9864333,0.007650574,0.000965498,0.00144792,0.002978029,0.0005246034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000924838,0.00001704492,0.00339441,0.00003113817,0.0000165555,0.001003969,0.007358586,0.0006457056,0.0002374318,0.9408412,0.03616276,0.01019884],"study_design_scores_gemma":[0.00008769627,0.00005580766,0.008980167,0.0007028198,0.0001876289,0.001170939,0.01434207,0.01176724,0.002662945,0.7035428,0.2563098,0.0001900371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1441872,0.002001337,0.01197,0.07274913,0.0002844699,0.0001265738,0.0004529723,0.0001361716,0.7680921],"genre_scores_gemma":[0.8764576,0.001062638,0.001372791,0.003685411,0.0001663739,0.00004602733,0.0000760285,0.00003725082,0.1170959],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.388677,"threshold_uncertainty_score":0.781932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947474704615974,"score_gpt":0.235131351147965,"score_spread":0.2156566041018053,"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."}}