{"id":"W1534873699","doi":"10.1007/978-1-4899-7993-3_1560-2","title":"Biological Resource Discovery","year":2017,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Resource (disambiguation); Computer science","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":[0.002529591,0.001411361,0.001484589,0.007956818,0.001170409,0.005536692,0.002770855,0.000755681,0.09239414],"category_scores_gemma":[0.004470639,0.0008417616,0.0013732,0.007758884,0.0005072595,0.003316431,0.003045856,0.001734892,0.1032442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231676,"about_ca_system_score_gemma":0.002429258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173453,"about_ca_topic_score_gemma":0.002986694,"domain_scores_codex":[0.9986148,0.0001529905,0.0001173298,0.0003824724,0.0006290143,0.0001033126],"domain_scores_gemma":[0.9983517,0.0004730861,0.00007052243,0.0005376386,0.0004224858,0.0001445744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008680648,0.00004482269,0.0005094451,0.001311912,0.00007548354,0.0001495485,0.0001207031,0.0006371686,0.008530768,0.04145388,0.4953279,0.4517516],"study_design_scores_gemma":[0.000008206642,0.000007416956,0.0003194615,0.0001537824,0.00002334649,0.0002397077,0.00004143475,0.001245007,0.004411933,0.01675288,0.9767773,0.00001947657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003968575,0.02360731,0.340784,0.004716424,0.002333145,0.001237459,0.1641323,0.04489994,0.4143208],"genre_scores_gemma":[0.01791995,0.02204652,0.4170565,0.00207316,0.0007733213,0.001117144,0.3213377,0.006980519,0.2106952],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09239414,"threshold_uncertainty_score":0.3090892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299538601775646,"score_gpt":0.2421793543876728,"score_spread":0.2191839683699163,"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."}}