{"id":"W2318600772","doi":"10.1080/14636778.2015.1133280","title":"Exploring the post-genomic world: differing explanatory and manipulatory functions of post-genomic sciences","year":2016,"lang":"en","type":"article","venue":"New Genetics and Society","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Dalhousie University","funders":"Australia Awards; Canadian Institutes of Health Research","keywords":"Relevance (law); Genomics; Narrative; Proteomics; Function (biology); Conceptual framework; Heredity; Data science; Biology; Epistemology; Sociology; Genetics; Social science; Genome; Computer science; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003719026,0.00007155108,0.00008255828,0.00003516036,0.0008026626,0.00004347059,0.0001737968,0.00003331825,0.0001277219],"category_scores_gemma":[0.00001393847,0.00004875881,0.00005455106,0.0001063722,0.0005477538,0.00009796973,0.0001157363,0.00005495183,0.000004876111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000424863,"about_ca_system_score_gemma":0.00007258425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000651799,"about_ca_topic_score_gemma":0.002315579,"domain_scores_codex":[0.9993836,0.00006571693,0.0001318204,0.0001439169,0.0001194843,0.0001554432],"domain_scores_gemma":[0.9995325,0.0001231122,0.00005975409,0.0001552531,0.00004653495,0.00008290683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002198421,0.00006120938,0.11463,0.00004744109,0.00007294158,2.448526e-7,0.3287274,0.000008976686,0.2335342,0.01703552,0.0009389471,0.3049211],"study_design_scores_gemma":[0.0002562724,0.000057816,0.9177204,0.0000358404,0.00002634916,9.616623e-7,0.05290917,0.00003650102,0.0001613049,0.0004770742,0.0281588,0.0001594572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941854,0.001296549,0.00003868532,0.001708347,0.0001757498,0.0001064057,0.0000106266,0.00001862695,0.002459573],"genre_scores_gemma":[0.9717307,0.02706479,0.000211066,0.0002425966,0.0001231164,0.000007655452,0.000001570223,0.000006985592,0.0006115054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8030904,"threshold_uncertainty_score":0.6173514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4333238514796196,"score_gpt":0.3664805683226741,"score_spread":0.06684328315694549,"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."}}