{"id":"W4309538188","doi":"10.30955/gnc2021.00387","title":"Canada’s New Substances Notification Regulations","year":2022,"lang":"en","type":"article","venue":"Global NEST International Conference on Environmental Science & Technology","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Government (linguistics); Notification system; Risk management; Environmental planning; Risk assessment; Environmental health; Environmental protection; Risk analysis (engineering); Computer security; Computer science; Environmental science; Medicine; Finance","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":[0.008717583,0.001002623,0.0009062695,0.005016754,0.008252852,0.007435485,0.005631135,0.004263444,0.0622218],"category_scores_gemma":[0.0205573,0.001249402,0.00143811,0.006039078,0.002241548,0.001978763,0.001830214,0.004132718,0.0156958],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05255065,"about_ca_system_score_gemma":0.3089629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9760282,"about_ca_topic_score_gemma":0.9799402,"domain_scores_codex":[0.9669372,0.001335281,0.0008764977,0.001294255,0.02684589,0.002710876],"domain_scores_gemma":[0.939212,0.002837443,0.001003761,0.001755612,0.05219699,0.002994236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008485743,0.0001140025,0.001972319,0.0004591324,0.00001854725,0.0001588322,0.0004105279,0.000609353,0.001295029,0.02760937,0.9368423,0.03042577],"study_design_scores_gemma":[0.00001819959,0.0000138184,0.002909105,0.0001477361,0.00001449275,0.00003234326,0.0001515472,0.0002375956,0.0003378198,0.0007697965,0.9953367,0.00003074922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004312636,0.004810866,0.007363272,0.03309717,0.003460677,0.002690566,0.07392063,0.002877532,0.8674666],"genre_scores_gemma":[0.03788329,0.009466381,0.02326767,0.03413336,0.0006240559,0.00172677,0.05456576,0.0009292554,0.8374035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9474493,"threshold_uncertainty_score":0.3812835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663865945299542,"score_gpt":0.2694824171008726,"score_spread":0.2528437576478771,"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."}}