{"id":"W3124631602","doi":"","title":"\"Government Wrongs\": Civil liability for Gmo regulation in Canada","year":2009,"lang":"it","type":"article","venue":"Agricoltura Istituzioni Mercati","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Liability; Government regulation; Business; Legal liability; Political science; Law; Law and economics; Public administration; Economics","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":[0.008015553,0.0003878322,0.0007543615,0.00303435,0.03434528,0.01631555,0.004036555,0.01859364,0.008676503],"category_scores_gemma":[0.04400885,0.001034282,0.0009385761,0.00377061,0.01308378,0.003620039,0.004673295,0.01599045,0.0004129742],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1686207,"about_ca_system_score_gemma":0.3657496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953497,"about_ca_topic_score_gemma":0.9967937,"domain_scores_codex":[0.982981,0.001649321,0.0005336635,0.001314806,0.007369685,0.00615163],"domain_scores_gemma":[0.9656796,0.01370047,0.002217717,0.0009992676,0.01265527,0.004747567],"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":[0.0001241111,0.0001645138,0.02471483,0.000125786,0.00007580264,0.00187614,0.01572652,0.003643677,0.0004735615,0.7942854,0.1335372,0.02525252],"study_design_scores_gemma":[0.0003483064,0.0001295771,0.1350123,0.001260581,0.0004642177,0.001041966,0.05120672,0.0233026,0.002288551,0.2134755,0.5706356,0.0008341941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2818548,0.003909884,0.00295788,0.2921632,0.000688985,0.000288208,0.000881823,0.0001436899,0.4171116],"genre_scores_gemma":[0.8641201,0.001775883,0.001201756,0.03552798,0.0001479892,0.00007254433,0.000145975,0.00006561314,0.0969421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1686207,"threshold_uncertainty_score":0.9642822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651602322727309,"score_gpt":0.2574022066911738,"score_spread":0.2408861834639007,"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."}}