{"id":"W4406433641","doi":"10.1016/j.ypat.2013.05.014","title":"10.1016/j.ypat.2013.05.014","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Proteomics; Cancer; Blood cancer; Computational biology; Oncology; Internal medicine; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006076857,0.001254506,0.000674916,0.001471233,0.0009703411,0.003587377,0.001249502,0.003313599,0.8937587],"category_scores_gemma":[0.0009977368,0.0005098383,0.0008028774,0.0008731941,0.001038758,0.001896175,0.001356132,0.001805124,0.884617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007558207,"about_ca_system_score_gemma":0.00115919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001714001,"about_ca_topic_score_gemma":0.001319488,"domain_scores_codex":[0.9997494,0.00001621244,0.00001413252,0.00008639295,0.00007744628,0.00005633412],"domain_scores_gemma":[0.9992769,0.0001069969,0.00008334456,0.00006062943,0.0001260595,0.0003459828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003461339,0.0002186333,0.003412564,0.0004599738,0.00004918154,0.0005136573,0.0000966587,0.0003844962,0.003036638,0.007341704,0.3038597,0.6802807],"study_design_scores_gemma":[0.00006065948,0.0001010998,0.003870944,0.0004440053,0.00004570163,0.002920229,0.0001431111,0.0003555015,0.001034655,0.004965174,0.9860329,0.00002588121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005981068,0.01435009,0.008433143,0.009180999,0.002739068,0.0001370847,0.005636815,0.004803522,0.9487382],"genre_scores_gemma":[0.01315227,0.004202344,0.003762007,0.001921674,0.0006279064,0.00008069197,0.00351917,0.0005364712,0.9721975],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1062413,"threshold_uncertainty_score":0.1515403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003685017478036342,"score_gpt":0.1759609454367714,"score_spread":0.1722759279587351,"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."}}