{"id":"W2059755265","doi":"10.1051/medsci/20082489703","title":"Quand les gènes s’éclatent","year":2008,"lang":"fr","type":"article","venue":"médecine/sciences","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Geography; Political science","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":[0.002171344,0.000904542,0.0006634794,0.0006015709,0.001530029,0.004102405,0.0004489149,0.002854834,0.01997595],"category_scores_gemma":[0.006287935,0.0004092979,0.0007367294,0.0006311662,0.003154934,0.00282473,0.0006179387,0.00465921,0.007807178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003400164,"about_ca_system_score_gemma":0.002382874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01096512,"about_ca_topic_score_gemma":0.008525,"domain_scores_codex":[0.9977452,0.0006338598,0.00007949044,0.0003351524,0.00100498,0.0002013592],"domain_scores_gemma":[0.9980375,0.0008464645,0.0002311636,0.0002156766,0.0004374449,0.0002317167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001258287,0.0003966849,0.01263961,0.0008864298,0.0001695792,0.004271009,0.004749486,0.002804452,0.3494456,0.3489628,0.04823674,0.2261794],"study_design_scores_gemma":[0.0001428252,0.0001998491,0.009814954,0.0002338038,0.00005422212,0.002272972,0.001270532,0.001193713,0.1201434,0.01351494,0.8510641,0.0000946467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2935143,0.0243711,0.1123614,0.1111385,0.01359984,0.0002699534,0.002707078,0.003640851,0.4383971],"genre_scores_gemma":[0.5328881,0.01315096,0.04289214,0.01278378,0.001654941,0.0003259233,0.001744145,0.0008386979,0.3937213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01997595,"threshold_uncertainty_score":0.06682622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0506714115404919,"score_gpt":0.3182877754998204,"score_spread":0.2676163639593285,"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."}}