{"id":"W6990801151","doi":"","title":"Eli Lilly v Government of Canada: the tale of promise v expectation","year":2018,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Legal Issues in South Africa","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; Public policy; Work (physics)","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":[0.01128468,0.000627708,0.0009740786,0.001653834,0.03360753,0.02597815,0.002686272,0.02638944,0.02655907],"category_scores_gemma":[0.02653237,0.000593975,0.0007920736,0.00254485,0.03719418,0.01099461,0.007581176,0.02967058,0.002612854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09242727,"about_ca_system_score_gemma":0.1668957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.909445,"about_ca_topic_score_gemma":0.935667,"domain_scores_codex":[0.9833572,0.002611784,0.0002558913,0.001030548,0.005733558,0.007010994],"domain_scores_gemma":[0.9854665,0.004502645,0.0003745114,0.0006061323,0.005015328,0.004034888],"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":[0.00002622284,0.00001426317,0.000358101,0.00003670229,0.00001165124,0.0001937709,0.004951269,0.0001305114,0.00008307296,0.7980682,0.1891959,0.006930172],"study_design_scores_gemma":[0.00003007721,0.00001794873,0.001294228,0.0004834164,0.00002330955,0.000135548,0.01989589,0.0003497665,0.0001886088,0.1746363,0.8028214,0.0001235463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006264433,0.005566129,0.0009961657,0.5989845,0.001910934,0.00002941394,0.0001134496,0.00005086162,0.386084],"genre_scores_gemma":[0.4693554,0.005517282,0.0007158497,0.2442433,0.001949429,0.00007486712,0.00007670858,0.0003209851,0.2777461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09242727,"threshold_uncertainty_score":0.67061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009613906869454271,"score_gpt":0.232641735591238,"score_spread":0.2230278287217837,"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."}}