{"id":"W4405262509","doi":"10.24193/subbphilo.2024.4.05","title":"OPTIMIZING FRENCH FOR HEALTH SCIENCES: A NEEDS-BASED APPROACH TO COURSE CONTENT","year":2024,"lang":"en","type":"article","venue":"Studia Universitatis Babeș-Bolyai Philologia","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Course (navigation); Content (measure theory); Computer science; Mathematics education; Psychology; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003871575,0.0003435343,0.0006861041,0.0006007484,0.00257259,0.00007154425,0.0004980164,0.0002406347,0.0001415392],"category_scores_gemma":[0.0004975504,0.0002943389,0.0001591326,0.001545957,0.000201228,0.0003983748,0.0001737167,0.0007190165,0.0002305082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006564615,"about_ca_system_score_gemma":0.003970385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001818011,"about_ca_topic_score_gemma":0.0003884059,"domain_scores_codex":[0.9955094,0.001293086,0.0007098543,0.000797466,0.0004524936,0.001237739],"domain_scores_gemma":[0.9948922,0.003542535,0.0003112713,0.000369849,0.0003803013,0.0005038274],"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":[0.0002777765,0.0005333154,0.006653674,0.004980254,0.0005676818,0.00005198578,0.07777359,0.001299513,0.0001247527,0.3563471,0.5386965,0.01269381],"study_design_scores_gemma":[0.003385063,0.004032336,0.006876861,0.00228487,0.0002256322,0.000008634573,0.1688107,0.00523567,0.000006502536,0.0008928118,0.8071544,0.001086547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03866892,0.02072012,0.3616367,0.3055739,0.01293117,0.02248898,0.002211046,0.00231982,0.2334493],"genre_scores_gemma":[0.9334637,0.0001073624,0.05475291,0.008075872,0.0004878315,0.0003818799,0.00006700256,0.00005438275,0.002609093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8947948,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2529504322302046,"score_gpt":0.4686135222129557,"score_spread":0.215663089982751,"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."}}