{"id":"W2795044975","doi":"10.1093/database/bay032","title":"Biopanning data bank 2018: hugging next generation phage display","year":2018,"lang":"en","type":"article","venue":"Database","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Biopanning; Computer science; Data bank; Library science; Telecommunications; 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":[0.003457883,0.002272058,0.003008435,0.004900199,0.001069249,0.00401314,0.003090115,0.001154306,0.02524559],"category_scores_gemma":[0.005350078,0.001341332,0.001222144,0.007506569,0.0003082855,0.00193103,0.002014042,0.002571472,0.03507503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009614908,"about_ca_system_score_gemma":0.00249031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003795116,"about_ca_topic_score_gemma":0.002683592,"domain_scores_codex":[0.9982987,0.0003065761,0.0003355732,0.0002817945,0.0005972012,0.0001801501],"domain_scores_gemma":[0.9971877,0.0005785491,0.0003943802,0.0007041082,0.0007537722,0.000381462],"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":[0.003690731,0.0004102078,0.006024755,0.004541892,0.0003886911,0.0004240353,0.0001864852,0.002701279,0.04017217,0.004035434,0.8579666,0.07945773],"study_design_scores_gemma":[0.0007257183,0.0002419782,0.009336488,0.0003605083,0.0002345223,0.0004323212,0.00009289628,0.008133579,0.0289547,0.003149696,0.948122,0.0002154542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007956052,0.002684106,0.0195812,0.0004517284,0.0003030684,0.0003635232,0.9179684,0.04211669,0.008575222],"genre_scores_gemma":[0.004118837,0.0007063127,0.01080076,0.0001340409,0.00002211729,0.0002292526,0.9813934,0.001366087,0.00122932],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02524559,"threshold_uncertainty_score":0.08445489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1018156776606257,"score_gpt":0.3119855143685021,"score_spread":0.2101698367078764,"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."}}