{"id":"W2012655105","doi":"10.1007/s13752-013-0136-9","title":"Synthetic Biology and Synthetic Knowledge","year":2013,"lang":"en","type":"article","venue":"Biological Theory","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Zentrum für interdisziplinäre Forschung, Universität Bielefeld; Universität Bielefeld","keywords":"Synthetic biology; Philosophy of biology; Epistemology; Computer science; Computational biology; Cognitive science; Biology; Psychology; Philosophy of science; 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":[0.0004125963,0.000199156,0.0002315636,0.00004287221,0.0000937227,0.00001964405,0.0002172599,0.0003031233,0.0004128948],"category_scores_gemma":[0.0002177211,0.000136856,0.0001235164,0.00008629166,0.0004873561,0.000002033951,0.0002479748,0.00008059562,0.0002396712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007871157,"about_ca_system_score_gemma":0.00001661162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003377062,"about_ca_topic_score_gemma":0.000001344597,"domain_scores_codex":[0.9984636,0.0004522972,0.0001954468,0.0005264219,0.00003388269,0.0003283883],"domain_scores_gemma":[0.9992461,0.00009948277,0.00005607113,0.0004068436,0.00005490597,0.0001365996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006393125,0.0001546363,0.01239736,0.00001387352,0.0002224298,0.000001651858,0.00003254002,0.00001081992,0.8682347,0.03332769,0.001191016,0.08434935],"study_design_scores_gemma":[0.002108048,0.003491244,0.1180222,0.00008914852,0.0003556127,0.0002946705,0.0007153982,0.0009059309,0.1969402,0.3395909,0.3342564,0.003230277],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852661,0.008266339,0.001382487,0.00009939876,0.00009437634,0.0001880976,0.000004610046,0.00003386016,0.004664687],"genre_scores_gemma":[0.9977623,0.0005298001,0.0003255106,0.0001875386,0.0002110856,0.00006173509,0.0000287101,0.00001548928,0.0008778623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6712945,"threshold_uncertainty_score":0.5580827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319263287039723,"score_gpt":0.2505087961689851,"score_spread":0.2373161632985878,"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."}}