{"id":"W1507354143","doi":"10.1111/j.1748-121x.2010.00167.x","title":"The case of ‘losses in any event’: a question of duty, cause or damages?","year":2010,"lang":"en","type":"article","venue":"Legal Studies","topic":"Legal principles and applications","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Causation; Damages; Plaintiff; Scrutiny; Tort; Argument (complex analysis); Duty; Event (particle physics); Relevance (law); Appeal; Scope (computer science); Law; Law and economics; Duty of care; Raising (metalworking); Political science; Business; Liability; Economics; Engineering; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02556727,0.0005012631,0.001607386,0.001602322,0.006383939,0.009102994,0.004076192,0.02206097,0.003318126],"category_scores_gemma":[0.05061991,0.0006795287,0.001334874,0.00117631,0.05321705,0.02240255,0.00811905,0.01515528,0.0005463757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003720959,"about_ca_system_score_gemma":0.003707614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003434503,"about_ca_topic_score_gemma":0.002619761,"domain_scores_codex":[0.9822413,0.007557963,0.0009848323,0.002176544,0.005208342,0.00183093],"domain_scores_gemma":[0.9703887,0.02281296,0.002192442,0.002287339,0.001675092,0.0006435207],"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":[0.00002039841,0.00001815688,0.0005539812,0.00004902465,0.00002087008,0.0009081116,0.003004275,0.0002157689,0.0001354196,0.9872164,0.003497428,0.004360222],"study_design_scores_gemma":[0.00001574441,0.00003736309,0.0009023531,0.0002200078,0.00002845452,0.001314841,0.002997326,0.0006619115,0.0002692573,0.9523736,0.04114264,0.00003659484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1279632,0.01366491,0.06906734,0.3885734,0.003166361,0.000188985,0.0001260255,0.00006664122,0.3971831],"genre_scores_gemma":[0.9495309,0.00251962,0.004471128,0.02653504,0.002683532,0.0001391558,0.00003045314,0.00003887894,0.01405121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02556727,"threshold_uncertainty_score":0.1352142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05253551868424276,"score_gpt":0.4218381476761031,"score_spread":0.3693026289918603,"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."}}