{"id":"W2121316115","doi":"10.1111/1556-4029.12496","title":"National Academy of Sciences “Standardization”: On What Terms?","year":2014,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Restraint-Related Deaths","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prince Albert Grand Council","funders":"","keywords":"Terminology; Confusion; Standardization; Subject (documents); Term (time); Engineering ethics; Library science; Political science; Psychology; Medical education; Medicine; Law; Computer science; Linguistics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002858567,0.00008583762,0.0002548543,0.0004603475,0.000158642,0.00009089176,0.0002541789,0.0000654566,0.00004536583],"category_scores_gemma":[0.001200558,0.00005211488,0.000111411,0.0006379935,0.001339474,0.0007208789,0.00001804676,0.000197388,0.000006126134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005041456,"about_ca_system_score_gemma":0.0003041223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.895758e-7,"about_ca_topic_score_gemma":2.279045e-7,"domain_scores_codex":[0.9972795,0.00005062455,0.0004802464,0.0001504196,0.001870858,0.0001683639],"domain_scores_gemma":[0.9987791,0.0002906451,0.0005163485,0.00003423362,0.0002763172,0.0001033422],"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":[0.000711279,0.0006366282,0.03878371,0.0001557231,0.0003454468,0.00005386482,0.002463047,0.04107927,0.06070269,0.4584137,0.01764528,0.3790094],"study_design_scores_gemma":[0.009743678,0.02155629,0.333266,0.009391708,0.0004351888,0.006780077,0.004376727,0.03149832,0.1981303,0.3592006,0.02468609,0.0009349699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615142,0.0003740136,0.001232778,0.00884717,0.0004946524,0.0001138815,0.000002043188,0.00001020433,0.02741103],"genre_scores_gemma":[0.9935102,0.0001431818,0.005102116,0.0009021665,0.0002669347,3.372033e-7,2.412773e-7,0.000003572295,0.00007121102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3780744,"threshold_uncertainty_score":0.4935347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04539930254818458,"score_gpt":0.3597204126311149,"score_spread":0.3143211100829303,"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."}}