{"id":"W4231145210","doi":"10.4018/9781609601027.ch015","title":"Use of SciDBMaker as Tool for the Design of Specialized Biological Databases","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Biological database; Database; Computer science; Data science; Bioinformatics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004963142,0.001815951,0.001423343,0.009669166,0.001529675,0.00807922,0.004170971,0.001465623,0.03297526],"category_scores_gemma":[0.01001302,0.001824359,0.001506297,0.01078506,0.000894504,0.008713608,0.003368584,0.003630625,0.03126219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664809,"about_ca_system_score_gemma":0.002818457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142711,"about_ca_topic_score_gemma":0.001926273,"domain_scores_codex":[0.9977749,0.0004021734,0.0002868059,0.0003597136,0.001098107,0.0000782792],"domain_scores_gemma":[0.9952833,0.00253403,0.0002049044,0.0007925638,0.0008922872,0.0002928702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002080636,0.0001525581,0.0007213256,0.002509246,0.0001662567,0.0009906383,0.0009286752,0.003377018,0.01098852,0.08391722,0.3035419,0.5924985],"study_design_scores_gemma":[0.00006765837,0.00003941002,0.0004647766,0.0005089603,0.00007010362,0.0009748284,0.000138187,0.01073019,0.01069004,0.03780226,0.9384303,0.00008330269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003839348,0.00687931,0.7624412,0.002463337,0.0007906967,0.0007269951,0.01142507,0.1064327,0.1050013],"genre_scores_gemma":[0.009999665,0.00744948,0.888255,0.001276189,0.0002832989,0.0008369563,0.02626193,0.01715429,0.0484832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03297526,"threshold_uncertainty_score":0.1103132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1407091688604744,"score_gpt":0.3222289074339535,"score_spread":0.1815197385734791,"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."}}