{"id":"W7003687283","doi":"","title":"Boy's Life","year":2007,"lang":"en","type":"other","venue":"Goldsmiths (University of London)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Privilege (computing); Appropriation; Exhibition; Iconography; Power (physics); Musical; Emphasis (telecommunications); Everyday life","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009344795,0.0007167247,0.0006136979,0.0006642453,0.01124251,0.005099736,0.0008837066,0.001618225,0.1471608],"category_scores_gemma":[0.001973124,0.0003031947,0.0004280862,0.0005813512,0.002367452,0.003102322,0.00461418,0.005681477,0.04464278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002373166,"about_ca_system_score_gemma":0.002399636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01265886,"about_ca_topic_score_gemma":0.0283238,"domain_scores_codex":[0.9986804,0.0003798015,0.00003267149,0.0001904073,0.0004058967,0.0003108479],"domain_scores_gemma":[0.9990349,0.0000672375,0.00006202958,0.00005162855,0.0002345701,0.0005495521],"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":[0.00003844687,0.00006079818,0.0008966859,0.00009083037,0.000007233149,0.001649011,0.01809525,0.00004377772,0.0003024701,0.07443532,0.8597943,0.04458584],"study_design_scores_gemma":[9.774058e-7,0.00001083963,0.0003052729,0.0000532593,9.414044e-7,0.0005932841,0.005539948,0.00000956539,0.00003597623,0.0007938906,0.9926512,0.000004909479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009721402,0.004490276,0.001599309,0.06364522,0.008547132,0.00006050405,0.000860271,0.0003893271,0.9106866],"genre_scores_gemma":[0.05053497,0.002834554,0.0009643553,0.01007476,0.0006385783,0.00005407862,0.0003047542,0.0002302945,0.9343637],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1471608,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004752417322981485,"score_gpt":0.2018382589284566,"score_spread":0.1970858416054751,"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."}}