{"id":"W2091523708","doi":"10.1051/medsci/2009252175","title":"Guider et intégrer pour un épissage diversifié","year":2009,"lang":"fr","type":"review","venue":"médecine/sciences","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"INT; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003138803,0.0005971275,0.0009118139,0.000187958,0.0007336185,0.0003497672,0.001559623,0.0005436793,0.0008028704],"category_scores_gemma":[0.000686553,0.000506164,0.0005845676,0.0006782176,0.0009046755,0.00002247211,0.0006330765,0.0004885249,0.0004277215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008418642,"about_ca_system_score_gemma":0.001078076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002929875,"about_ca_topic_score_gemma":0.0001552482,"domain_scores_codex":[0.9955137,0.0004945924,0.0007456622,0.001297045,0.0007325816,0.001216404],"domain_scores_gemma":[0.9983765,0.0001832299,0.0003555543,0.0005492342,0.0001599396,0.0003755801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002362329,0.0003440774,0.00161036,0.001009605,0.0002259726,0.0001876084,0.00003346086,0.00004444176,0.00857407,0.00200085,0.03731017,0.9486358],"study_design_scores_gemma":[0.00062611,0.001013739,0.001354006,0.002198324,0.0001503747,0.000214654,0.0001196456,0.00005963567,0.0009759692,0.0007048358,0.9918087,0.000774027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01488865,0.9554051,0.001397365,0.002741166,0.0004263804,0.0005511087,0.00006370572,0.00002052495,0.02450607],"genre_scores_gemma":[0.007094015,0.9586214,0.003583054,0.00116921,0.0007541476,0.0000159528,0.0001208734,0.00003878512,0.0286026],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9544985,"threshold_uncertainty_score":0.999739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06041859437132781,"score_gpt":0.367888780454411,"score_spread":0.3074701860830832,"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."}}