{"id":"W1549083991","doi":"","title":"Application of Patent Law Damages Analysis to Trade Secret Misappropriation Claims: Apportionment, Alternatives, and Other Common Limitations on Damages","year":2002,"lang":"en","type":"article","venue":"Seattle University law review","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"","keywords":"Misappropriation; Damages; Trade secret; Context (archaeology); Scrutiny; Apportionment; Law; Intellectual property; Jury; Business; Law and economics; Economics; Political science; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001710122,0.0001186,0.000242226,0.0001358293,0.000189,0.00003444023,0.0001539828,0.00003664151,0.0003152006],"category_scores_gemma":[0.0000158951,0.0001078192,0.00009040713,0.000557342,0.00007185244,0.0003103395,0.00005824186,0.00007111904,0.0001181705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003285325,"about_ca_system_score_gemma":0.000001803794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096852,"about_ca_topic_score_gemma":0.0004807909,"domain_scores_codex":[0.9992596,0.00004760846,0.0001805092,0.0002255515,0.0001766933,0.0001100366],"domain_scores_gemma":[0.9994892,0.00004328274,0.0001787658,0.0002082065,0.00005958727,0.00002092192],"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":[0.0001378195,0.001051088,0.009187581,0.003808433,0.001373228,0.00001136421,0.001043291,0.001244726,0.0005658664,0.901232,0.01181339,0.06853119],"study_design_scores_gemma":[0.000411536,0.00005935744,0.004881452,0.0004345904,0.001249145,5.175588e-7,0.000193468,0.007572622,0.0001521527,0.0004206494,0.9843253,0.0002991659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1541433,0.008798301,0.0236557,0.02426001,0.0002852569,0.006513536,0.0003287891,0.0004276007,0.7815875],"genre_scores_gemma":[0.9922328,0.002334791,0.0001133225,0.004713943,0.00003696881,0.000003795848,0.0001086183,0.000009998519,0.0004457781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9725119,"threshold_uncertainty_score":0.439674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1846368190608646,"score_gpt":0.2388600642530556,"score_spread":0.05422324519219102,"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."}}