{"id":"W2784476961","doi":"10.1146/annurev-genom-083117-021552","title":"The Genomic Commons","year":2018,"lang":"en","type":"review","venue":"Annual Review of Genomics and Human Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Commons; Genomics; Intellectual property; Data science; Bureaucracy; Corporate governance; Political science; Biology; Computer science; Business; Genome; Law; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.002814134,0.0006899146,0.0009297188,0.002260032,0.00187864,0.006937091,0.001532864,0.005037818,0.01150028],"category_scores_gemma":[0.00495263,0.0002929108,0.000497217,0.003009511,0.01330628,0.00947754,0.005483083,0.004030345,0.003176901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003545749,"about_ca_system_score_gemma":0.006598262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002526385,"about_ca_topic_score_gemma":0.002163717,"domain_scores_codex":[0.9976566,0.0009457587,0.0001105947,0.0003933379,0.0006233093,0.0002704228],"domain_scores_gemma":[0.9968867,0.001972732,0.0002403011,0.0004053243,0.0002388441,0.0002561077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002283937,0.000013966,0.0002008555,0.001656012,0.00002638891,0.000308558,0.00130293,0.0002386174,0.0005635574,0.7337114,0.07491042,0.1870443],"study_design_scores_gemma":[0.000002144964,0.000005691491,0.0001356347,0.000858736,0.000004136444,0.0003234913,0.0002747476,0.00001610936,0.0001081573,0.0566715,0.9415924,0.00000725361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001297835,0.8361773,0.00533482,0.04051575,0.003488111,0.0000342868,0.0003059942,0.0001707605,0.1126751],"genre_scores_gemma":[0.06214028,0.8632432,0.002706175,0.03669706,0.005039297,0.0001448809,0.0005999536,0.0001038835,0.02932529],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9984671,"threshold_uncertainty_score":0.03847224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743986890524737,"score_gpt":0.3539630672440992,"score_spread":0.3365231983388519,"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."}}