{"id":"W4394107226","doi":"10.6084/m9.figshare.20338935","title":"EdU Optimization - Incubation Test #2","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Incubation; Test (biology); Computer science; Chemistry; Biology; Biochemistry","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":[0.002573543,0.003330701,0.001942212,0.002336405,0.001048556,0.002429009,0.002571658,0.002407464,0.09366946],"category_scores_gemma":[0.01346551,0.0005904329,0.002319386,0.002371843,0.0004717708,0.001414633,0.001606078,0.001864947,0.06362944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311659,"about_ca_system_score_gemma":0.002437498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007739507,"about_ca_topic_score_gemma":0.02182626,"domain_scores_codex":[0.9978872,0.0004898633,0.0002054577,0.0007962912,0.0003524239,0.0002687348],"domain_scores_gemma":[0.9954294,0.002275223,0.0003283524,0.0008762346,0.0007973294,0.0002934654],"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":[0.0008433643,0.0001383691,0.00659055,0.004043152,0.0003287326,0.00006996411,0.00003799539,0.001401467,0.0009020868,0.0007015062,0.9717782,0.01316459],"study_design_scores_gemma":[0.001838051,0.0003427707,0.01338397,0.0009341942,0.0005876149,0.000196529,0.0001362328,0.002512534,0.003827543,0.003267394,0.9728928,0.00008026858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001594349,0.0004439651,0.0003917061,0.0001948064,0.0001287972,0.0001139153,0.9934396,0.001364721,0.002328083],"genre_scores_gemma":[0.003475091,0.0001981883,0.001547386,0.0003098547,0.00003060563,0.0004558904,0.9909401,0.000427615,0.002615296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09366946,"threshold_uncertainty_score":0.3133556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984907101007092,"score_gpt":0.295900476552327,"score_spread":0.2760514055422561,"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."}}