{"id":"W2595496218","doi":"","title":"Pure economic loss and non-adopters: comparing liability in Australia, Canada, and the United States","year":2012,"lang":"en","type":"article","venue":"MOspace Institutional Repository (University of Missouri)","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Government","keywords":"Liability; Business; Economics; Actuarial science; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000307683,0.00005468917,0.0001045714,0.00002229466,0.0007334186,0.0000218678,0.0001261775,0.00004210668,0.0000100758],"category_scores_gemma":[0.0000144279,0.00005447343,0.00001997322,0.00008037967,0.00105832,0.00019698,0.00006831756,0.00009998531,0.000001081811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918526,"about_ca_system_score_gemma":0.0002629025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9471753,"about_ca_topic_score_gemma":0.8204252,"domain_scores_codex":[0.9994945,0.00006431672,0.00007457461,0.0001070838,0.0001177429,0.0001417686],"domain_scores_gemma":[0.9995992,0.00009897238,0.00006735528,0.00008912602,0.00003316617,0.000112148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008779589,0.00005869315,0.8635152,0.00003483907,0.00003474503,0.00001402435,0.03383064,0.005920071,0.00002759056,0.0958771,0.0005414015,0.00005792078],"study_design_scores_gemma":[0.001272878,0.00000984439,0.8289929,0.00004767917,0.00003934544,0.00001130252,0.03843686,0.002943265,0.00004664174,0.0007926947,0.1271942,0.0002123747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946547,0.00006299777,0.00004906665,0.002465115,0.00006313196,0.0001278334,0.00001017158,0.000005846475,0.002561161],"genre_scores_gemma":[0.9986655,0.00004583142,0.0001023693,0.00002171498,0.00004034606,4.52973e-7,0.000005095972,0.00000128139,0.00111748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1267501,"threshold_uncertainty_score":0.5640937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721130526240638,"score_gpt":0.2333185054329349,"score_spread":0.2161072001705286,"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."}}