{"id":"W7065157298","doi":"","title":"Detail, Angel and Children from Right Lancet of The James and Mary Brydson Memorial Window","year":2022,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Window (computing); Metis; Biography; Narrative","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003273097,0.0001714753,0.0002435532,0.0001777901,0.0004917869,0.0002176086,0.001123523,0.00006374434,0.00002718724],"category_scores_gemma":[0.00002341479,0.0001617791,0.00006741314,0.0003987297,0.0001301617,0.001044986,0.001574837,0.0005014754,0.000005361937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005800231,"about_ca_system_score_gemma":0.00006117985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001934445,"about_ca_topic_score_gemma":0.0001754352,"domain_scores_codex":[0.9982589,0.0004745401,0.0001633078,0.0004607158,0.000399536,0.0002429871],"domain_scores_gemma":[0.9990238,0.0001221007,0.0002022195,0.0004940921,0.00004064608,0.0001171573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000529274,0.00003159817,0.9957306,0.000006970905,0.00004517478,0.00003406861,0.00100633,0.00004088159,0.0005188553,0.0004214867,0.000003405462,0.002107746],"study_design_scores_gemma":[0.00135531,0.00007124664,0.9945814,0.00002643865,0.00003303332,0.0000406361,0.0001934631,0.00001579274,0.0005208592,0.0003743483,0.002591763,0.000195729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967431,0.000277926,0.001672569,0.0004772806,0.0003578247,0.000192625,0.00004542769,0.00007392032,0.000159327],"genre_scores_gemma":[0.998215,0.00003674462,0.0003654647,0.0004113875,0.00009208744,8.791869e-7,0.00001028289,0.00001260118,0.0008556009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002588358,"threshold_uncertainty_score":0.659716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04396619135551127,"score_gpt":0.2587902489390625,"score_spread":0.2148240575835512,"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."}}