{"id":"W3180158371","doi":"10.1158/1538-7445.am2021-206","title":"Abstract 206: CIViC knowledgebase adapts to field experts and community input","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Crowdsourcing; Documentation; Relevance (law); Field (mathematics); Interpretation (philosophy); Political science; Public relations; Law; 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":[0.02030169,0.00152225,0.001478195,0.01018461,0.002629955,0.00839529,0.004993243,0.004039936,0.1015395],"category_scores_gemma":[0.08655415,0.001422734,0.001912568,0.006422039,0.001224738,0.009028765,0.0126353,0.003172923,0.05718036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002846131,"about_ca_system_score_gemma":0.008984091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276197,"about_ca_topic_score_gemma":0.02839431,"domain_scores_codex":[0.9910367,0.003054178,0.001605871,0.001865046,0.002099342,0.0003388383],"domain_scores_gemma":[0.954212,0.02154257,0.001602349,0.01196194,0.00892591,0.001755366],"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":[0.0003977206,0.0002156653,0.002876623,0.003384175,0.0001164429,0.00049222,0.00238853,0.002867315,0.001304333,0.01557886,0.8382568,0.1321212],"study_design_scores_gemma":[0.0001525493,0.00002941113,0.0007746191,0.00123555,0.00006192914,0.0001011742,0.0005885431,0.004057982,0.0008912257,0.01299337,0.9790437,0.00006991551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.009332272,0.001989071,0.1790094,0.01767545,0.002918649,0.005784786,0.4575846,0.1305391,0.1951666],"genre_scores_gemma":[0.03576059,0.001539544,0.3920307,0.005729978,0.0006544801,0.005380109,0.5066461,0.01753604,0.03472254],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1015395,"threshold_uncertainty_score":0.3396834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07710663477485513,"score_gpt":0.4059624004574472,"score_spread":0.3288557656825921,"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."}}