{"id":"W292334191","doi":"","title":"OCLC WorldCat selection @ Mcgill University","year":2010,"lang":"en","type":"article","venue":"Fontes artis musicae","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); World Wide Web; Computer science; Receipt; Library science; Database; Artificial intelligence","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":[0.0001523122,0.00007351612,0.00007719565,0.0001167789,0.0002734714,0.0001078643,0.0006779989,0.00003851407,0.00008352832],"category_scores_gemma":[0.00001933768,0.00006726341,0.00004711364,0.0006708804,0.00003222804,0.004841962,0.0001547018,0.0001269047,0.0006189602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002239458,"about_ca_system_score_gemma":0.00003682675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009235345,"about_ca_topic_score_gemma":0.0001694635,"domain_scores_codex":[0.999264,0.00002391333,0.0001304351,0.000199086,0.0001872072,0.0001953831],"domain_scores_gemma":[0.9994294,0.00002931464,0.0000768243,0.000296987,0.00006173361,0.0001057221],"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":[0.00001554772,0.0001421847,0.02247692,0.00002054802,0.00002719295,0.00001927755,0.005406059,0.0001229117,0.033188,0.6097761,0.2009546,0.1278506],"study_design_scores_gemma":[0.0001739857,0.00005107121,0.01312717,0.000005891534,8.904028e-7,0.00002976177,0.0001129232,0.03356835,0.005038289,0.0007154557,0.9470145,0.0001616839],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8275444,0.000009666432,0.04970656,0.007079667,0.00344751,0.0003437687,0.00002285969,0.0009985809,0.110847],"genre_scores_gemma":[0.9900394,0.000001244228,0.005192228,0.0008068049,0.00009572415,0.000001080652,0.000001608382,0.000002631278,0.003859273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7460599,"threshold_uncertainty_score":0.7955687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006740925708704787,"score_gpt":0.1719380467674646,"score_spread":0.1651971210587598,"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."}}