{"id":"W7028774927","doi":"","title":"Functional Analysis of Aberrant CIZ1 Forms in Cancer","year":2023,"lang":"en","type":"dissertation","venue":"White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)","topic":"German Security and Defense Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Functional analysis; Cancer; Disease; Mutation; Qualitative analysis","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":[0.0001142931,0.0002579282,0.0001326491,0.000354233,0.0002058941,0.0002544114,0.0002447965,0.0003157011,0.001392334],"category_scores_gemma":[0.0001514405,0.0001209028,0.0001992122,0.0002431988,0.0002124477,0.00008902021,0.000158114,0.0004190523,0.0004782319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000462148,"about_ca_system_score_gemma":0.0001711193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184059,"about_ca_topic_score_gemma":0.001104513,"domain_scores_codex":[0.999884,0.00001182139,0.000008233762,0.00002598429,0.00004210437,0.00002787731],"domain_scores_gemma":[0.9999068,0.00001597157,0.00002116531,0.000009898868,0.00001343509,0.0000326626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006668039,0.00001375835,0.0006070294,0.00002174108,0.000004911223,0.00008620744,0.000008456046,0.0000496591,0.9983211,0.00007038192,0.0000365876,0.0007134817],"study_design_scores_gemma":[0.00001390025,0.0001660713,0.02721365,0.000004653958,0.00002695741,0.00183929,0.00004412315,0.0014271,0.964017,0.00006773668,0.005174296,0.000005114718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956684,0.001101998,0.001436939,0.00008240065,0.00001968595,0.00002294043,0.0005751451,0.00005575501,0.00103665],"genre_scores_gemma":[0.9965976,0.0003665239,0.0007990107,0.00003068449,0.000003189966,0.00001617319,0.0009455453,0.00001685151,0.001224545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001392334,"threshold_uncertainty_score":0.004657805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04018333069942828,"score_gpt":0.2722527945984362,"score_spread":0.2320694638990079,"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."}}