{"id":"W2285152544","doi":"","title":"La conceptualisation métaphorique en biomédecine : indices de conceptualisation et réseaux lexicaux","year":2006,"lang":"fr","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cambridge; Université de Montréal; University of Chicago; Sanofi","keywords":"Humanities; Philosophy; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01024164,0.001015915,0.0007503093,0.016874,0.002758531,0.01245737,0.001076516,0.002169105,0.00573429],"category_scores_gemma":[0.04967447,0.000702717,0.001055002,0.0210984,0.008508901,0.02953942,0.00440788,0.003245465,0.001159917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005705767,"about_ca_system_score_gemma":0.003288122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00562912,"about_ca_topic_score_gemma":0.003923448,"domain_scores_codex":[0.9910999,0.005265991,0.0008664469,0.0007509007,0.001702418,0.000314352],"domain_scores_gemma":[0.973836,0.01933188,0.001931105,0.001393976,0.002787222,0.0007197137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002529674,0.00007316031,0.01007093,0.001295543,0.0001105606,0.0003167348,0.04346466,0.00151264,0.003791969,0.8153316,0.005719148,0.1180599],"study_design_scores_gemma":[0.00008561114,0.0001809459,0.01395858,0.00131324,0.0001688109,0.002226935,0.05646134,0.0172409,0.003317645,0.7462831,0.1585765,0.000186398],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1643464,0.02168182,0.7029451,0.01093848,0.0007536217,0.0006083247,0.002650457,0.001062707,0.09501314],"genre_scores_gemma":[0.6954431,0.004592312,0.2923813,0.0004754526,0.0001520039,0.0005617067,0.001555214,0.0002755673,0.004563213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.016874,"threshold_uncertainty_score":0.05416363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007704371161989351,"score_gpt":0.2130630650749735,"score_spread":0.2053586939129842,"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."}}