{"id":"W2515338632","doi":"10.71781/4803","title":"Développement d’une lentille cornéenne médicamentée","year":2015,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Bee Products Chemical Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Mathematics","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":[0.000479136,0.0003831446,0.0002842097,0.0003418167,0.0002857851,0.0006736224,0.0003076741,0.0005550378,0.001701228],"category_scores_gemma":[0.0004608284,0.000235252,0.0004955622,0.0002171414,0.0003707964,0.000592451,0.0003273811,0.0007107331,0.0006228235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004947317,"about_ca_system_score_gemma":0.0004000743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083047,"about_ca_topic_score_gemma":0.001835894,"domain_scores_codex":[0.9996895,0.00004303056,0.00001690274,0.00009523976,0.0001240644,0.00003130274],"domain_scores_gemma":[0.9997346,0.00007021128,0.00005682273,0.00004627407,0.00006900085,0.00002304403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002783383,0.00001728285,0.00008945694,0.00008176605,0.000005560468,0.00004308004,0.000020722,0.00006236513,0.9944351,0.0001082609,0.00004924237,0.005059237],"study_design_scores_gemma":[0.000006243722,0.0002732888,0.001042302,0.00001894885,0.00001944627,0.0001502159,0.0000126393,0.0005223503,0.9886517,0.00004688918,0.00924669,0.000009297611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8558704,0.01761416,0.1079473,0.0006559829,0.0004644011,0.0006415648,0.0009337635,0.001035882,0.01483646],"genre_scores_gemma":[0.8811773,0.007580225,0.08556515,0.0005078142,0.00006354282,0.0002708655,0.0005447941,0.000167681,0.0241226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001701228,"threshold_uncertainty_score":0.00569123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07672547310259976,"score_gpt":0.3190210837361731,"score_spread":0.2422956106335734,"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."}}