{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001393485,0.0002044971,0.0002700931,0.0002578516,0.00004374239,0.000005993033,0.0004463218,0.0005163289,0.001399923],"category_scores_gemma":[0.00005054663,0.0002525154,0.0001600142,0.0001246167,0.0001355789,0.000002523915,0.0002384631,0.0001910669,0.0002530985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001282006,"about_ca_system_score_gemma":0.0001051023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002856265,"about_ca_topic_score_gemma":0.0002560117,"domain_scores_codex":[0.9991934,0.00003192271,0.0001209856,0.0002373259,0.0001930479,0.0002233641],"domain_scores_gemma":[0.9990042,0.000007285242,0.0003195312,0.0004960721,0.00004543934,0.0001274872],"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":[0.00006005908,0.00003651839,0.001336127,0.0001758755,0.0001821648,0.00001258323,0.0000679763,0.00001914528,0.0003030233,0.0002044699,0.9949238,0.002678285],"study_design_scores_gemma":[0.0005660005,0.0001184029,0.0006065315,0.00006119184,0.00004976961,0.000006975896,0.0002035878,0.0000784382,0.0001280768,0.000004284165,0.9979083,0.0002684195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002841882,0.0009943588,0.008295549,0.0001372816,0.0002278239,0.0002195201,0.00009134158,0.00008142705,0.9871108],"genre_scores_gemma":[0.005291789,0.000625769,0.0118467,0.0002431252,0.0002579449,1.258387e-7,0.0002617764,0.0001859176,0.9812868],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.005823963,"threshold_uncertainty_score":0.9999927,"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."}}