{"id":"W784714403","doi":"10.71781/26695","title":"Les systèmes Xer à une seule recombinase","year":2012,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal","keywords":"Recombinase; Philosophy; Biology; Genetics; Recombination","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":[0.0005570531,0.0007251191,0.0006836372,0.0004594739,0.0005490033,0.001168014,0.0005978557,0.000922363,0.00490132],"category_scores_gemma":[0.0007806259,0.0005418977,0.0007610893,0.0003173823,0.0004970846,0.0009977421,0.0007676884,0.001440853,0.003174312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005420798,"about_ca_system_score_gemma":0.0003959621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006426806,"about_ca_topic_score_gemma":0.0005612831,"domain_scores_codex":[0.9992422,0.0001341973,0.00005849403,0.0002506509,0.0002207704,0.00009380495],"domain_scores_gemma":[0.9994924,0.00009083199,0.0001027123,0.0001788159,0.00008453379,0.00005077387],"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":[0.0001461418,0.00003960364,0.0005628422,0.0001473885,0.00002034297,0.00005733085,0.00006269449,0.0002106048,0.9862044,0.001210604,0.0002663272,0.01107176],"study_design_scores_gemma":[0.00003438963,0.000406272,0.002403422,0.0000159253,0.00002737782,0.0006808143,0.00004276675,0.001102232,0.9458444,0.0002799297,0.04913378,0.00002869669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8447022,0.01080503,0.1194605,0.0006191233,0.0005055193,0.000430895,0.001081853,0.003412052,0.01898291],"genre_scores_gemma":[0.8089663,0.004884948,0.09323944,0.0004793041,0.00007939543,0.0003816251,0.004563379,0.0003759347,0.0870298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00490132,"threshold_uncertainty_score":0.01639652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358627632657459,"score_gpt":0.2989069972687602,"score_spread":0.2630442340030143,"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."}}