{"id":"W4250479618","doi":"10.1007/978-1-4939-7131-2_101025","title":"Science of Science (Sci2) Tool","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Biochemical engineering; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001285983,0.0002209259,0.0002252556,0.0004636622,0.0002047363,0.00006439581,0.001412714,0.0002816185,0.0007498406],"category_scores_gemma":[0.0004813657,0.0001721481,0.0001087453,0.0001868153,0.01565905,0.00000722182,0.001074347,0.0001455196,0.0002060632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003767561,"about_ca_system_score_gemma":0.002676522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005113875,"about_ca_topic_score_gemma":0.000007150107,"domain_scores_codex":[0.9971449,0.000004085296,0.0004296981,0.000527757,0.0013832,0.0005103648],"domain_scores_gemma":[0.9976094,0.00001037026,0.0001679095,0.0008371363,0.001106405,0.0002687788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005686403,0.00005004789,0.00001377111,0.0001747891,0.00004277947,0.000002390728,0.0001074481,5.938624e-7,0.9269126,0.02507307,0.02204588,0.02551977],"study_design_scores_gemma":[0.0002471919,0.001355559,0.00005486924,0.00007796287,0.0000160881,0.00001171726,0.0000516026,0.00009640444,0.5564553,0.003180032,0.4380403,0.0004129864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01311163,0.0001893284,0.0005202703,0.00007529626,0.0004564035,0.0002704828,0.000044399,0.0000103288,0.9853219],"genre_scores_gemma":[0.08714633,0.001014527,0.005457813,0.0002910573,0.0005984643,0.000003329,0.00005151979,0.00003296868,0.905404],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4159944,"threshold_uncertainty_score":0.9870198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115257255330252,"score_gpt":0.2927724201936239,"score_spread":0.2716198476403213,"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."}}