{"id":"W7069131321","doi":"","title":"Mot de l’oeuvre","year":2024,"lang":"sv","type":"article","venue":"Érudit (Université de Montréal)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Context (archaeology); Work (physics); Term (time)","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":[0.003786398,0.001169819,0.001021398,0.002162243,0.001901982,0.003680997,0.001994411,0.004251352,0.279805],"category_scores_gemma":[0.02803019,0.000553122,0.0011641,0.001142571,0.001060478,0.002262297,0.002049081,0.003314353,0.08723447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00555869,"about_ca_system_score_gemma":0.009326361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06698114,"about_ca_topic_score_gemma":0.05026581,"domain_scores_codex":[0.9962428,0.0008051535,0.0003454834,0.0004119473,0.001828707,0.0003660143],"domain_scores_gemma":[0.9874762,0.001631398,0.0008766003,0.0006754258,0.007856977,0.001483431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001646397,0.00002867738,0.0009726959,0.001042957,0.00002838231,0.001049211,0.0001982358,0.0001329525,0.0003939792,0.006100589,0.8855667,0.1043211],"study_design_scores_gemma":[0.00004045667,0.00003146964,0.001529089,0.0007243976,0.000007827475,0.001556058,0.0002407885,0.00007727733,0.0002850993,0.001030986,0.9944538,0.00002275527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.004734565,0.08802407,0.003569225,0.3064448,0.3317326,0.001574629,0.01963731,0.001731263,0.2425515],"genre_scores_gemma":[0.06065724,0.07111522,0.01036905,0.1023628,0.1281914,0.002499829,0.01547341,0.001069942,0.608261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.279805,"threshold_uncertainty_score":0.9360409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007164229841380155,"score_gpt":0.1876541803826255,"score_spread":0.1804899505412454,"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."}}