{"id":"W4406521390","doi":"10.1016/s0765-2046(97)89914-5","title":"10.1016/s0765-2046(97)89914-5","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genetic enhancement; Medicine; Gene; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001762633,0.004012267,0.002863372,0.003409662,0.002824221,0.005629721,0.004512315,0.005961103,0.989266],"category_scores_gemma":[0.002523267,0.001329728,0.001954261,0.003970719,0.002575944,0.006975941,0.004818854,0.003969835,0.9953897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494668,"about_ca_system_score_gemma":0.001480404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00464978,"about_ca_topic_score_gemma":0.003820945,"domain_scores_codex":[0.9990533,0.00006245633,0.00007798374,0.0003401409,0.0002538438,0.0002122427],"domain_scores_gemma":[0.9966096,0.0008225165,0.0002554531,0.0004890712,0.000713905,0.001109598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003978061,0.000227754,0.0007708872,0.0004797186,0.00004774914,0.0001737765,0.00009393155,0.0005117889,0.001807494,0.004876862,0.393229,0.5973832],"study_design_scores_gemma":[0.00007766266,0.0001138932,0.0007784315,0.0003552049,0.00001964489,0.0002669969,0.0001126991,0.0003271551,0.0003881106,0.0007867741,0.9967389,0.00003471746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004451574,0.0004507092,0.001015453,0.0005813052,0.0004111482,0.0001448568,0.001270497,0.001984822,0.993696],"genre_scores_gemma":[0.0004893796,0.000216364,0.0005228555,0.0002962906,0.00008113896,0.00009160971,0.000707415,0.000316358,0.9972786],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01073396,"threshold_uncertainty_score":0.01531059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00904490377892944,"score_gpt":0.2215777142905791,"score_spread":0.2125328105116496,"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."}}