{"id":"W1977880538","doi":"10.1136/jmedgenet-2012-101141","title":"Public funding for genomics: where does Canada stand?","year":2012,"lang":"en","type":"article","venue":"Journal of Medical Genetics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Genomics; Biology; Computational biology; Genetics; Genome; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01983047,0.001286658,0.001917798,0.004126064,0.02317163,0.03701809,0.004940434,0.0189832,0.04141206],"category_scores_gemma":[0.05537261,0.001016055,0.001581277,0.009103502,0.01426603,0.01857608,0.009794692,0.01862804,0.007202106],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1341504,"about_ca_system_score_gemma":0.4677433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9652693,"about_ca_topic_score_gemma":0.9662694,"domain_scores_codex":[0.9690033,0.002890522,0.0009548616,0.002250071,0.0137604,0.01114092],"domain_scores_gemma":[0.920822,0.01122332,0.002396694,0.002199949,0.03420665,0.02915129],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008593385,0.0000402694,0.001732806,0.0004359451,0.00003091937,0.0001768233,0.0007903295,0.0001422017,0.0001408223,0.1187456,0.8365448,0.04113371],"study_design_scores_gemma":[0.00006707947,0.00002043137,0.003909278,0.00157516,0.00003401063,0.00007651473,0.002841218,0.0001755997,0.0001213945,0.01682187,0.9742395,0.0001178718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001074936,0.01649742,0.0005912773,0.9357144,0.008630822,0.00004929349,0.001254314,0.0001708882,0.03601675],"genre_scores_gemma":[0.0763237,0.05208335,0.006558368,0.7473882,0.005119137,0.0002328346,0.003475018,0.0008386669,0.1079808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9801695,"threshold_uncertainty_score":0.9733341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5293722161272325,"score_gpt":0.5447726120596137,"score_spread":0.01540039593238118,"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."}}