{"id":"W3207996961","doi":"","title":"Expressions, Utterances and Directive Slots","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Directive; Computer science; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002089932,0.001626695,0.0006463256,0.001539415,0.001576764,0.003506805,0.001024655,0.001731333,0.02368372],"category_scores_gemma":[0.006647451,0.00106902,0.0006392298,0.001904555,0.002224891,0.006052325,0.002544567,0.001936177,0.008834995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140806,"about_ca_system_score_gemma":0.0009613663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002305112,"about_ca_topic_score_gemma":0.001279891,"domain_scores_codex":[0.9971907,0.001187294,0.0002168578,0.0006078923,0.0005217649,0.0002755551],"domain_scores_gemma":[0.9966509,0.002350208,0.0001544484,0.0003425936,0.0004029589,0.0000988923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001099927,0.0000894427,0.002251451,0.0008595581,0.0000503108,0.001659773,0.01902749,0.00150647,0.01896708,0.7540917,0.08301339,0.1173834],"study_design_scores_gemma":[0.0001442121,0.0001066838,0.003314476,0.0003272629,0.0001057082,0.002612643,0.009460635,0.0164711,0.02272768,0.2918415,0.6527207,0.0001673291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06265709,0.002081061,0.6910649,0.004737725,0.001483568,0.0005401426,0.02305205,0.01730458,0.1970789],"genre_scores_gemma":[0.6212093,0.001560524,0.2594185,0.0008682698,0.000559428,0.001041746,0.02365622,0.006161933,0.08552405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02368372,"threshold_uncertainty_score":0.07922995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121484446047428,"score_gpt":0.2415899607747983,"score_spread":0.2294415161700555,"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."}}