{"id":"W2337738693","doi":"10.71781/4929","title":"L'utilisation des plantes médicinales en grossesse : prévalence, déterminants et risque de prématurité","year":2009,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Complementary and Alternative Medicine Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Montréal","keywords":"Gynecology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0004975382,0.000113765,0.0001777089,0.000550656,0.0002274611,0.0004349842,0.0002026922,0.000208218,0.001102055],"category_scores_gemma":[0.001735103,0.0001314555,0.0001313713,0.0009012016,0.0001778043,0.0001869404,0.0002406458,0.0002723836,0.0001194329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000893358,"about_ca_system_score_gemma":0.0009991342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2573375,"about_ca_topic_score_gemma":0.3617656,"domain_scores_codex":[0.999869,0.0000336122,0.000008714173,0.00002017087,0.000039977,0.00002863426],"domain_scores_gemma":[0.9996055,0.0001117843,0.0001311206,0.00001198062,0.00008913034,0.00005058106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009381319,0.0000369101,0.9772294,0.0001170248,0.00004156279,0.00007700953,0.002211646,0.00003539796,0.0005970942,0.0001020413,0.0005337612,0.01892436],"study_design_scores_gemma":[0.000001228533,0.00003240195,0.9986237,0.00003604915,0.00001520338,0.00005645587,0.0004970896,0.0000215712,0.0000740226,0.00001385543,0.0006268715,0.000001434846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990881,0.006219331,0.00007746769,0.0003378107,0.000006422031,0.00001336851,0.001096879,0.000002952724,0.001364739],"genre_scores_gemma":[0.9933921,0.004735211,0.0002014588,0.00006657441,0.000006433641,0.0000107341,0.0002746292,0.000001139928,0.001311715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2573375,"threshold_uncertainty_score":0.5116793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0610131559903163,"score_gpt":0.4186152310534777,"score_spread":0.3576020750631614,"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."}}