{"id":"W7001366262","doi":"","title":"International Contracts","year":2018,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Variety (cybernetics); Agency (philosophy); Cover (algebra); Product (mathematics); Commercial law; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006082846,0.00003776579,0.00002474876,0.00001160385,0.00002370732,0.00001414414,0.0001108155,0.00003782605,0.0004852064],"category_scores_gemma":[0.00009506206,0.00003185389,0.00001679498,0.00001384325,0.00004058126,0.000001227992,0.00005307202,0.00002680376,0.0001992743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002350788,"about_ca_system_score_gemma":0.000009420828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003560284,"about_ca_topic_score_gemma":0.000006082509,"domain_scores_codex":[0.9997413,0.000005666393,0.00006817383,0.00006205785,0.00005392312,0.00006889313],"domain_scores_gemma":[0.9997806,0.000002419344,0.0000233541,0.000111044,0.00005868058,0.00002392609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001502604,0.0000962522,0.03130156,0.000008157444,0.0001644118,0.000002090587,0.0002142718,0.00003447389,0.6549214,0.009026414,0.2489793,0.05510144],"study_design_scores_gemma":[0.000170465,0.00009432965,0.002817601,0.000001092754,0.000001299098,0.00001002673,0.00001111079,0.001102306,0.05712543,0.00002414139,0.9385865,0.00005564564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1950816,0.000007853067,0.01321835,0.0004735593,0.0004098184,0.00003916167,0.000002053617,0.00001893847,0.7907487],"genre_scores_gemma":[0.9824707,0.00000795659,0.009056221,0.001175047,0.0005637098,0.000001308338,0.00003732276,0.000004581964,0.00668314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7873892,"threshold_uncertainty_score":0.5312669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005083616238602752,"score_gpt":0.2689332316787881,"score_spread":0.2638496154401853,"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."}}