{"id":"W7009829320","doi":"","title":"Etude des propriÃ©tÃ©s physicochimiques des vecteurs nanoparticulaires","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ligand (biochemistry); Membrane; Agrégation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000537667,0.0004407518,0.000310638,0.0002691582,0.0004173369,0.0007282493,0.0002411849,0.0006472234,0.003194572],"category_scores_gemma":[0.0007053639,0.0002952658,0.0003930767,0.0003078106,0.0003166122,0.0006904214,0.0002099187,0.000572814,0.0007891798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005489627,"about_ca_system_score_gemma":0.00034996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556348,"about_ca_topic_score_gemma":0.001891387,"domain_scores_codex":[0.9996027,0.00004812043,0.00002234669,0.00009821483,0.0001799781,0.00004863684],"domain_scores_gemma":[0.9995497,0.0001562115,0.00006215442,0.00002633737,0.0001885552,0.00001699966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006940974,0.00001115731,0.0003669391,0.000120116,0.00001116757,0.0000395781,0.000075777,0.0002619359,0.9952259,0.0001974545,0.00005478867,0.003565795],"study_design_scores_gemma":[0.000002688359,0.0001793036,0.001359615,0.000007460793,0.00001448702,0.00006326639,0.00006796399,0.001786383,0.9928827,0.00007213482,0.003551763,0.00001220267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634112,0.004672513,0.02507519,0.0002678902,0.0001448512,0.00006152749,0.0005240953,0.0001637402,0.005679143],"genre_scores_gemma":[0.9517653,0.005076666,0.02109973,0.0001566854,0.00003412654,0.0001598626,0.0004977091,0.0001126921,0.02109714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003194572,"threshold_uncertainty_score":0.01068687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004089780284687123,"score_gpt":0.1506141021975334,"score_spread":0.1465243219128463,"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."}}