{"id":"W2004472959","doi":"10.1038/nbt1205-1485","title":"Innovation and intellectual property rights in systems biology","year":2005,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Intellectual property; Property rights; Systems biology; Property (philosophy); Business; Biology; Knowledge management; Computational biology; Law and economics; Computer science; Political science; Sociology; Epistemology; Law","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":[0.0001096972,0.0001134124,0.0001187305,0.0002367519,0.00002731469,0.00000733734,0.0001152135,0.001164705,0.000004505105],"category_scores_gemma":[0.0001504734,0.00008172922,0.00001255678,0.0002762228,0.00008357132,0.000002018841,0.0000854918,0.000368468,0.000004898729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001353834,"about_ca_system_score_gemma":0.00001554237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002461923,"about_ca_topic_score_gemma":0.00009576796,"domain_scores_codex":[0.999302,0.00001738994,0.0001698344,0.0002945878,0.00003153459,0.0001846065],"domain_scores_gemma":[0.9997129,0.000009223989,0.0000286441,0.000195571,0.00003749741,0.0000161517],"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":[0.00002900302,0.00002753177,0.00047167,0.00001331137,0.00001696501,0.000001591304,0.00002277844,0.00008938463,0.9643062,0.01769987,0.001354794,0.01596687],"study_design_scores_gemma":[0.0003259585,0.0001585212,0.0002509078,0.000009285395,0.000002771767,0.00005388634,0.00001737955,0.0006202484,0.4490112,0.0001250885,0.549283,0.0001417655],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872773,0.006417704,0.004187689,0.00101782,0.0002308125,0.0001967853,0.000004723574,0.000047131,0.0006200294],"genre_scores_gemma":[0.9982648,0.0002007284,0.0009448772,0.0001158664,0.0001650656,0.00001463579,0.00003425717,0.000008042098,0.0002517647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5479282,"threshold_uncertainty_score":0.8983273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004469437203629854,"score_gpt":0.2695374664410893,"score_spread":0.2650680292374594,"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."}}