{"id":"W7037119567","doi":"","title":"Description des activités de simulation in situ dans les milieux de soins critiques du Québec : étude descriptive transversale","year":2023,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Vulnerability (computing); Descriptive research; Quantitative methodology","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":[0.003152131,0.0007129483,0.0004649391,0.003203228,0.003459469,0.00458349,0.00123837,0.001182723,0.01611168],"category_scores_gemma":[0.006205528,0.0003849124,0.0008641787,0.004499454,0.003228695,0.001573981,0.001863165,0.001210149,0.0009836584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02845927,"about_ca_system_score_gemma":0.0266403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8061421,"about_ca_topic_score_gemma":0.8423302,"domain_scores_codex":[0.9980944,0.0008118524,0.0001185814,0.0002509804,0.0004624776,0.000261625],"domain_scores_gemma":[0.9946302,0.002480519,0.0003556907,0.0002850801,0.002005865,0.0002426509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004235487,0.0003638281,0.1124246,0.005285443,0.0002391493,0.002558105,0.4818727,0.0177431,0.00794235,0.1315031,0.0201487,0.2194955],"study_design_scores_gemma":[0.0000661965,0.000271899,0.131831,0.005055253,0.0002467203,0.0007711326,0.4539093,0.01954109,0.004382277,0.007685911,0.3759709,0.0002683048],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7074224,0.009242467,0.09204974,0.004995289,0.0003755743,0.002509576,0.008896034,0.0005448039,0.173964],"genre_scores_gemma":[0.9056885,0.004324121,0.02850422,0.0005098664,0.00003217622,0.002388351,0.002869271,0.0001364151,0.05554711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8061421,"threshold_uncertainty_score":0.3899991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03427225522537695,"score_gpt":0.2284245229883539,"score_spread":0.1941522677629769,"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."}}