{"id":"W6981029181","doi":"","title":"Développement et évaluation de la stabilité de formulations pharmaceutiques destinées à la population pédiatrique","year":2022,"lang":"fr","type":"other","venue":"Open MIND","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Pharmaceutical technology; Multicenter study","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":[0.001787471,0.0004963356,0.0005725714,0.0006617387,0.0003571686,0.0009418579,0.0004424485,0.000704349,0.002637415],"category_scores_gemma":[0.002243747,0.0003492809,0.0006301695,0.0005413925,0.0004918475,0.0006730077,0.0004450082,0.0009014412,0.0006098084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000633875,"about_ca_system_score_gemma":0.001287076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002538067,"about_ca_topic_score_gemma":0.003899219,"domain_scores_codex":[0.9985974,0.0003288227,0.00008564538,0.0002641603,0.0006223361,0.0001015905],"domain_scores_gemma":[0.9989166,0.0002625817,0.0002775353,0.00006858064,0.0004136821,0.00006093281],"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":[0.0007622467,0.0003444407,0.003048462,0.001997693,0.0001444971,0.0002117317,0.0004241945,0.0006925442,0.907613,0.0007360585,0.0007245885,0.08330043],"study_design_scores_gemma":[0.00009896266,0.007835624,0.01901193,0.0004299562,0.0004851803,0.0008999236,0.0004457371,0.002239063,0.9078486,0.0003114579,0.06030853,0.00008511059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8854795,0.05575264,0.0424521,0.001093725,0.0004190402,0.0009247471,0.001659035,0.0003240416,0.01189518],"genre_scores_gemma":[0.85178,0.04940016,0.07916033,0.0006751245,0.0001140155,0.0008646866,0.001266031,0.0001924453,0.01654723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002637415,"threshold_uncertainty_score":0.009453177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09916376952924695,"score_gpt":0.4007743722427555,"score_spread":0.3016106027135086,"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."}}