{"id":"W6912548020","doi":"10.5281/zenodo.2654892","title":"Source Data Images for Figures 3a-d, Fig 4","year":2019,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Scale (ratio); Data source; Staining; Human liver; Pixel; Pattern recognition (psychology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001580211,0.002734134,0.001880859,0.004923232,0.001945975,0.003353841,0.004365251,0.002840245,0.8378968],"category_scores_gemma":[0.005643859,0.001907445,0.001930938,0.004791345,0.000650685,0.003537714,0.002462938,0.002810431,0.6654297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893394,"about_ca_system_score_gemma":0.0021771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005776584,"about_ca_topic_score_gemma":0.007845627,"domain_scores_codex":[0.9986756,0.00008358916,0.0001127029,0.0002698165,0.0006778964,0.0001803072],"domain_scores_gemma":[0.9969206,0.0006903356,0.0002387115,0.0006244303,0.001084246,0.0004417734],"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":[0.0001453692,0.00006402021,0.0002532862,0.0007621456,0.00002709773,0.00006668296,0.00002773325,0.0002946885,0.002403983,0.00113043,0.9854183,0.009406217],"study_design_scores_gemma":[0.0001656246,0.00003123876,0.00182072,0.0002199663,0.00002903255,0.0001470171,0.00004098101,0.0004471178,0.002860224,0.001846949,0.9923401,0.00005108065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004110179,0.0002142423,0.007343595,0.0004799234,0.0007694054,0.0002780304,0.9365063,0.02188783,0.03210966],"genre_scores_gemma":[0.003305224,0.0004317938,0.01324685,0.0005226887,0.0001433054,0.001107604,0.926641,0.01431659,0.04028495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8378968,"threshold_uncertainty_score":0.2312204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1281458815145852,"score_gpt":0.3404441848856197,"score_spread":0.2122983033710345,"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."}}