{"id":"W2005970510","doi":"10.1038/88047","title":"Cloning and genetic determinism—a call for consistency","year":2001,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cloning (programming); Determinism; Consistency (knowledge bases); Computational biology; Genetics; Biology; Computer science; Artificial intelligence; Philosophy; Programming language","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":[0.00008903409,0.0001445663,0.000167747,0.0002563295,0.0002407082,0.00002575656,0.0003056995,0.0009800132,0.00002197462],"category_scores_gemma":[0.002536387,0.0001378312,0.00003295807,0.0004467849,0.0009168643,0.00004491614,0.0001393805,0.0009695844,0.00001282779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002513192,"about_ca_system_score_gemma":0.00004101323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001797457,"about_ca_topic_score_gemma":0.0000124015,"domain_scores_codex":[0.9986497,0.00003064251,0.0002552452,0.0005631556,0.0001455885,0.0003556617],"domain_scores_gemma":[0.999082,0.0003640286,0.0001087378,0.0003389616,0.00005266398,0.00005358177],"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":[0.00001443656,0.00003828296,0.00008253705,0.00001800203,0.000003425161,0.00007547536,0.0000235163,1.896922e-7,0.9177159,0.06382743,0.0006535425,0.01754728],"study_design_scores_gemma":[0.0006327476,0.0003344184,0.0005652658,0.00002083524,0.00001514452,0.0004392136,0.00001612307,0.0003477209,0.7925416,0.01906075,0.1857961,0.0002300374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415714,0.0006698939,0.01074145,0.04257102,0.001295677,0.0008592774,0.00004035055,0.0006449124,0.001606041],"genre_scores_gemma":[0.9855123,0.0003330542,0.005965506,0.007524019,0.00008751122,0.00005018111,0.000002160332,0.00002079207,0.0005044455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1851426,"threshold_uncertainty_score":0.7558759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0361105521576282,"score_gpt":0.326491586134625,"score_spread":0.2903810339769968,"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."}}