{"id":"W4250368780","doi":"10.1080/14649055.2002.10765838","title":"Deep classification: pornography, bibliographic access, and academic libraries","year":2002,"lang":"en","type":"article","venue":"Library Collections Acquisitions and Technical Services","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pornography; Mainstream; Context (archaeology); Variety (cybernetics); Sociology; Identification (biology); Subject (documents); Terminology; Computer science; World Wide Web; Public relations; Political science; Linguistics; Artificial intelligence; Geography","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00115561,0.0002386165,0.0003414786,0.004527445,0.002322137,0.006534081,0.0006874887,0.000705845,0.008031451],"category_scores_gemma":[0.009739889,0.00008759282,0.0002029244,0.007690278,0.004134198,0.0064017,0.00300283,0.001208318,0.0006907037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002817528,"about_ca_system_score_gemma":0.001527185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00877873,"about_ca_topic_score_gemma":0.008844997,"domain_scores_codex":[0.9988633,0.0004949204,0.0001007186,0.00009238361,0.000295221,0.0001534975],"domain_scores_gemma":[0.9928185,0.002592285,0.002170593,0.0004587134,0.001201493,0.0007584922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004014722,0.000534079,0.400376,0.000946967,0.0000586996,0.0004531818,0.1313921,0.0003601585,0.001672097,0.1371925,0.007736147,0.3188766],"study_design_scores_gemma":[0.00001986381,0.0002182731,0.729162,0.0009267757,0.00005938433,0.0006930867,0.1523548,0.001158656,0.001011569,0.03746111,0.07688087,0.00005362196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8602686,0.008472055,0.003424709,0.006946286,0.0001349599,0.00009143756,0.0003115588,0.00006984934,0.1202805],"genre_scores_gemma":[0.9890189,0.002208128,0.0009805667,0.0005540809,0.0001753043,0.00004613774,0.0002843788,0.0000151135,0.006717398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9934659,"threshold_uncertainty_score":0.02686793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017397351561319,"score_gpt":0.307848082124746,"score_spread":0.2676741086091328,"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."}}