{"id":"W3174751549","doi":"","title":"Imager's Corner: Layered Mask Stretching","year":2012,"lang":"en","type":"article","venue":"Journal of the Royal Astronomical Society of Canada","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Materials science; Geology; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004298069,0.0001229261,0.0003944196,0.00001240463,0.00004770327,0.00001079284,0.0002355539,0.00003923912,0.00008904569],"category_scores_gemma":[0.0001246597,0.00007723842,0.0003748711,0.00005813636,0.0001407312,0.0001075381,0.00008024588,0.0004726218,8.551303e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004645987,"about_ca_system_score_gemma":0.0008664475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008961285,"about_ca_topic_score_gemma":0.0004511512,"domain_scores_codex":[0.998559,0.00003034019,0.0004905349,0.00006797107,0.0005165166,0.0003356303],"domain_scores_gemma":[0.9988421,0.00009730366,0.0004200574,0.0001844006,0.0001056034,0.0003504919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001701006,0.0002489666,0.4214957,0.0001020555,0.0006688737,0.000003740346,0.0003950667,0.004335733,0.002144299,0.00003217674,0.5635616,0.006841666],"study_design_scores_gemma":[0.004452847,0.0003639667,0.9224595,0.000711113,0.0005488546,0.000107776,0.002781719,0.008276401,0.01061845,0.00005978094,0.04931033,0.0003092426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902512,0.0002982328,0.0002186858,0.007108349,0.0007431567,0.00007552528,0.000008092235,0.000003855493,0.001292841],"genre_scores_gemma":[0.9920358,9.333975e-7,0.005558772,0.0006575742,0.0007592019,3.726503e-7,9.846989e-7,0.00001598454,0.0009703494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5142512,"threshold_uncertainty_score":0.9976381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006378430963950516,"score_gpt":0.2099300684752064,"score_spread":0.2035516375112559,"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."}}