{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002856575,0.0002449369,0.0002012702,0.00007183787,0.0005191226,0.00004318947,0.0003481472,0.0001963547,0.0001783418],"category_scores_gemma":[0.00007647747,0.0002248477,0.0001323719,0.0002580984,0.0009968687,0.000008110462,0.0001327152,0.000110419,0.00005673128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001373488,"about_ca_system_score_gemma":0.0001322726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002056855,"about_ca_topic_score_gemma":0.00007186314,"domain_scores_codex":[0.9984018,0.00004927222,0.0002699513,0.0005236542,0.00025072,0.000504665],"domain_scores_gemma":[0.9994976,0.00003376672,0.00006010526,0.0002309209,0.00005116072,0.0001264689],"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":[0.00007567954,0.0008148155,0.307244,0.0002993589,0.0002417017,0.0001473695,0.000930992,0.03555827,0.5216718,0.007709311,0.07555813,0.04974855],"study_design_scores_gemma":[0.001549027,0.002115362,0.0721573,0.0001634102,0.00007937168,0.0008139446,0.0007034267,0.003763813,0.2506046,0.0005352864,0.6663731,0.001141338],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8781255,0.1000831,0.008236625,0.002574375,0.001339558,0.0001329603,0.00001812131,0.00002152782,0.009468213],"genre_scores_gemma":[0.9779767,0.007658163,0.002970666,0.0001757737,0.0006341256,0.000008299673,0.0000101387,0.00001799687,0.01054813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.590815,"threshold_uncertainty_score":0.9169022,"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."}}