{"id":"W1515530165","doi":"10.5860/lrts.48n2.122-129","title":"The Contracting World of Cutter’s Expansive Classification","year":2013,"lang":"en","type":"article","venue":"Library Resources and Technical Services","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expansive; Computer science; Database; World Wide Web; Information retrieval; Business","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":[0.02472612,0.0003533904,0.0004538787,0.004265777,0.01162217,0.01191102,0.001485836,0.001783145,0.009111462],"category_scores_gemma":[0.05758627,0.0005635738,0.0002262675,0.006779679,0.02221823,0.009965521,0.007618831,0.005308556,0.001107069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01297547,"about_ca_system_score_gemma":0.01299014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09774038,"about_ca_topic_score_gemma":0.08735423,"domain_scores_codex":[0.9756507,0.01117614,0.001072162,0.002334869,0.007284734,0.002481375],"domain_scores_gemma":[0.9588724,0.0129718,0.003377299,0.006944077,0.0133478,0.004486671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006325913,0.00002037922,0.007010641,0.00004216005,0.000006483037,0.0002449976,0.03673945,0.0001479009,0.0001443732,0.7665395,0.0922989,0.09674202],"study_design_scores_gemma":[0.00001318233,0.00003437619,0.00858352,0.0004073486,0.000006568167,0.0004432777,0.02466973,0.0004898226,0.0002335878,0.07822212,0.8868313,0.00006520363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2038473,0.009513265,0.0260932,0.1316779,0.003648092,0.0002146154,0.0003004619,0.0001911136,0.624514],"genre_scores_gemma":[0.8652242,0.002689103,0.0141789,0.01673769,0.001342544,0.0002629491,0.0002526156,0.00024914,0.09906282],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09774038,"threshold_uncertainty_score":0.1943429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009877076535245955,"score_gpt":0.2037309636264119,"score_spread":0.1938538870911659,"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."}}