{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009357886,0.0001042559,0.0003784871,0.00008263689,0.00007541245,0.00003114487,0.0004504026,0.0004096056,0.0005695075],"category_scores_gemma":[0.02712825,0.00006482244,0.0001430902,0.0001079924,0.0001667444,0.00005124959,0.0001252544,0.001878649,0.000002980786],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004618129,"about_ca_system_score_gemma":0.009894746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075713,"about_ca_topic_score_gemma":0.04189998,"domain_scores_codex":[0.9950244,0.00007813572,0.0008545196,0.0001078402,0.003354104,0.0005809912],"domain_scores_gemma":[0.9909899,0.00536966,0.0002943483,0.0002495005,0.001023434,0.002073206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001287536,0.00175432,0.3407493,0.004528148,0.001863671,0.0007106369,0.001339437,0.00001348692,0.005837415,0.01766816,0.3170228,0.3072251],"study_design_scores_gemma":[0.002917123,0.0005994983,0.01092402,0.0005934202,0.0001421705,0.0003158993,0.0008924817,0.000320571,0.001131224,0.004509153,0.9774969,0.000157571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7784476,0.02679072,0.008134859,0.179703,0.005037186,0.0004214013,0.00002393655,0.00001117537,0.001430083],"genre_scores_gemma":[0.9628155,0.01620916,0.01110077,0.002652777,0.005794976,0.000003683166,0.000001958795,0.00003907913,0.001382067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6604741,"threshold_uncertainty_score":0.9957182,"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."}}