{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006485224,0.0002774411,0.0003593748,0.00002605196,0.0007125454,0.0001549981,0.0004981063,0.000162684,0.0003206774],"category_scores_gemma":[0.0003029502,0.0002558804,0.0001196071,0.0007286539,0.000111755,0.0003037375,0.00005206539,0.000234591,0.00003300739],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00531077,"about_ca_system_score_gemma":0.002350731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8396875,"about_ca_topic_score_gemma":0.9717385,"domain_scores_codex":[0.9970158,0.0001298935,0.0006812615,0.0006278962,0.0009054487,0.0006397397],"domain_scores_gemma":[0.9984722,0.0003147577,0.0003171246,0.0004615874,0.000184393,0.0002499982],"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":[0.0001159052,0.001027823,0.01234311,0.0001233442,0.00005903381,0.000004752107,0.006047376,0.003982054,0.00135267,0.8778527,0.04780066,0.04929054],"study_design_scores_gemma":[0.0005115257,0.0000802233,0.4389757,0.00006411577,0.00005268342,6.810011e-7,0.002293437,0.001434151,0.0002696816,0.00555579,0.5503138,0.0004481332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5033643,0.0008127418,0.003549414,0.1343197,0.00295412,0.01066808,0.001017303,0.0001807712,0.3431335],"genre_scores_gemma":[0.9919848,0.0001166731,0.0004371758,0.0007652067,0.0004639097,0.0001855191,0.00005668891,0.0000109639,0.005979067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8722969,"threshold_uncertainty_score":0.9999893,"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."}}