{"id":"W2906117327","doi":"10.1089/crispr.2018.29037.kda","title":"The Phage Whisperer: An Interview with Sylvain Moineau","year":2018,"lang":"en","type":"article","venue":"The CRISPR Journal","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"CRISPR; Computer science; Library science; Biology; Genetics; Gene","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":[0.0007266576,0.0001308095,0.00008595944,0.00001552087,0.0004775025,0.0001309615,0.0004688808,0.00004465516,0.00006111339],"category_scores_gemma":[0.00003420387,0.00006185888,0.00006210648,0.00006336084,0.0001749436,0.00000509113,0.00007703304,0.0002013066,0.00001972405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009211772,"about_ca_system_score_gemma":0.00004187973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004049682,"about_ca_topic_score_gemma":0.00008767731,"domain_scores_codex":[0.9991723,0.0001169093,0.000166632,0.000139475,0.0001357109,0.0002689519],"domain_scores_gemma":[0.9992786,0.00001424434,0.00006164575,0.0004257799,0.0001190331,0.0001006639],"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":[0.0006555016,0.0001873848,0.001049013,0.00004136473,0.0006566014,0.00005323835,0.002716099,0.0006650976,0.6776797,0.0007527084,0.09433483,0.2212085],"study_design_scores_gemma":[0.0008897864,0.001889849,0.002202387,0.00006164842,0.00008740609,0.001886412,0.001415583,0.0009993573,0.2886356,0.0002936519,0.7012918,0.0003465041],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8374324,0.011665,0.1420483,0.004213546,0.0008733694,0.0002376484,0.000005351234,0.00002634988,0.003498008],"genre_scores_gemma":[0.9955673,0.0009567855,0.0005061935,0.0005416256,0.001554983,0.000005002756,0.00000292976,0.00002582811,0.0008393822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.606957,"threshold_uncertainty_score":0.3672612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100606999209651,"score_gpt":0.317582887417772,"score_spread":0.3065768174256754,"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."}}