{"id":"W4241277615","doi":"10.1007/978-3-319-78259-1_5","title":"Conclusions and Perspectives","year":2018,"lang":"en","type":"article","venue":"Experientia supplementum","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Epistemology; Philosophy","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":[0.00003886363,0.00007982718,0.00005334015,0.00002117967,0.0001130372,0.00001749636,0.00006185696,0.00003213833,0.0007062504],"category_scores_gemma":[0.00001414911,0.00007938335,0.00002466157,0.000032738,0.000107904,0.000001795616,0.0001589352,0.00002284432,0.000009162509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003716028,"about_ca_system_score_gemma":0.0000107204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007576827,"about_ca_topic_score_gemma":0.00001880643,"domain_scores_codex":[0.9994842,0.000009542603,0.00007653164,0.0002174315,0.0000571114,0.0001552259],"domain_scores_gemma":[0.9997182,0.000001962844,0.00001255439,0.0001685516,0.00003979953,0.0000589275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002147139,0.00003826904,0.002335691,0.000004564275,0.00004109219,0.000001383686,0.005334123,0.000001074287,0.9615906,0.001555139,0.02817549,0.0009010363],"study_design_scores_gemma":[0.0003565132,0.0002664937,0.001342428,0.000002895616,0.000006600072,0.000009562952,0.006650598,0.00004845606,0.5075665,0.00002862766,0.483585,0.0001362775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809033,0.001633952,0.01436404,0.000270809,0.0002915718,0.0001210574,0.0000228639,0.00001691318,0.002375471],"genre_scores_gemma":[0.9970917,0.00008533449,0.001548899,0.00006412266,0.0003447657,0.00001898788,0.00004776442,0.00001177589,0.0007867102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4554096,"threshold_uncertainty_score":0.7732947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007700480073821244,"score_gpt":0.312499560545319,"score_spread":0.3047990804714978,"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."}}