{"id":"W7066472749","doi":"","title":"Insurance and new risks : titanium dioxide nanoparticles in food in Canada and France","year":2019,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); European union; Environmental policy","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":[0.00082864,0.0002224781,0.0002763222,0.001550855,0.001474873,0.002376076,0.0005609439,0.0008807845,0.002637909],"category_scores_gemma":[0.001392525,0.0001326652,0.0005547056,0.001618833,0.0007931942,0.0005680004,0.0006464981,0.0007259128,0.000147295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04497812,"about_ca_system_score_gemma":0.02729782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9812688,"about_ca_topic_score_gemma":0.9862067,"domain_scores_codex":[0.9990589,0.00009121343,0.00002342271,0.0001022388,0.0004317753,0.0002924876],"domain_scores_gemma":[0.9989386,0.0001712251,0.0002314456,0.00001901819,0.0004743907,0.000165209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009110981,0.000237396,0.8320425,0.0004469619,0.0004281118,0.00304343,0.01069661,0.007235117,0.003332408,0.02164443,0.01598091,0.104001],"study_design_scores_gemma":[0.00002508541,0.0001644008,0.9131874,0.0002521975,0.0001103369,0.0004037643,0.01445123,0.004083004,0.001014273,0.001110573,0.06510993,0.00008780544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604628,0.008864972,0.0006946977,0.009851279,0.00007176307,0.00004483834,0.002229996,0.00003269561,0.01774706],"genre_scores_gemma":[0.9789276,0.004145935,0.0005784279,0.0007304501,0.00003037235,0.00001553978,0.0005753613,0.00001190079,0.01498445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04497812,"threshold_uncertainty_score":0.3263406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697115863494187,"score_gpt":0.2370812823519924,"score_spread":0.2101101237170506,"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."}}