{"id":"W2305399190","doi":"10.1093/jlb/lsw006","title":"The mouse that trolled (again)","year":2016,"lang":"en","type":"article","venue":"Journal of Law and the Biosciences","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Human Genome Research Institute; Genome Alberta; Alberta Innovates; Ontario Genomics Institute; Stem Cell Network; Ontario Genomics; Genome Canada","keywords":"Criticism; Narrative; History; Genealogy; Biology; Political science; Literature; Law; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.00642029,0.0009666056,0.0005309109,0.0008659909,0.005636315,0.006279143,0.001616787,0.008617418,0.0362157],"category_scores_gemma":[0.03432336,0.0004350838,0.001040259,0.0005003375,0.007452622,0.008014177,0.003660013,0.01739231,0.01960178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002987792,"about_ca_system_score_gemma":0.002416367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217618,"about_ca_topic_score_gemma":0.01433351,"domain_scores_codex":[0.9954188,0.001668433,0.0002086386,0.0007646962,0.001444507,0.0004949618],"domain_scores_gemma":[0.9885676,0.004018653,0.0009622388,0.001182855,0.003942944,0.001325712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003111633,0.000007326718,0.0001389001,0.00003251381,0.00000634342,0.0001645506,0.001118338,0.0000196985,0.0003542968,0.034649,0.9581894,0.005288465],"study_design_scores_gemma":[0.000004681379,0.00001345311,0.0001020918,0.00006616593,0.000004873485,0.0001042336,0.0008242588,0.00003060178,0.0002800428,0.003537267,0.995012,0.00002033562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001430758,0.003365256,0.005004133,0.8151394,0.1252269,0.0000524906,0.0002709701,0.0007854222,0.04872474],"genre_scores_gemma":[0.03293438,0.001746995,0.003238298,0.61828,0.01507001,0.0001578488,0.0001446778,0.001068215,0.3273596],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0362157,"threshold_uncertainty_score":0.1211535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652219610651257,"score_gpt":0.2420960065595009,"score_spread":0.2255738104529883,"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."}}