{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002455289,0.0003757687,0.0005413318,0.00005187792,0.0001160553,0.00003317673,0.0005498755,0.0003800764,0.00001510826],"category_scores_gemma":[0.0001015798,0.0003157447,0.0002081905,0.000005349467,0.0002514211,0.000001644882,0.0006288202,0.0001594515,0.00002654775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001090592,"about_ca_system_score_gemma":0.000103863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005627124,"about_ca_topic_score_gemma":0.00002325846,"domain_scores_codex":[0.9984741,0.00003395505,0.000458434,0.0006069405,0.0001894207,0.0002371671],"domain_scores_gemma":[0.9978479,0.00003212879,0.0005325828,0.001425731,0.00007622206,0.00008539392],"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":[0.0009913819,0.0003621102,0.008202851,0.002505069,0.004713964,0.0002950067,0.0003337114,0.0001277841,0.2449196,0.1094008,0.6159165,0.01223125],"study_design_scores_gemma":[0.0002139865,0.0001777272,0.0001774056,0.0001673516,0.00005619801,0.00001609276,0.00002177198,0.000001104801,0.0003826761,0.000106839,0.9983077,0.0003711701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007217046,0.02470989,0.0001116901,0.00002221905,0.001050597,0.0004886147,0.004561215,0.000005681119,0.9618331],"genre_scores_gemma":[0.06064517,0.03045491,0.0002247698,0.00004029759,0.002882288,0.00004269326,0.003262252,0.0001043791,0.9023433],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3823912,"threshold_uncertainty_score":0.9999295,"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."}}