{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009231661,0.001346192,0.0007778036,0.003536735,0.00406006,0.004972315,0.002190432,0.001390925,0.8921506],"category_scores_gemma":[0.005384575,0.0008230903,0.0004742935,0.004774645,0.001197194,0.002378488,0.002438857,0.0008702124,0.6440814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007867616,"about_ca_system_score_gemma":0.009899733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.241045,"about_ca_topic_score_gemma":0.5508835,"domain_scores_codex":[0.9986199,0.00008179386,0.00004619986,0.0001829938,0.0008452171,0.0002238378],"domain_scores_gemma":[0.9932285,0.0004600093,0.0002266041,0.001337955,0.003389038,0.001357899],"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":[0.00002719208,0.00001788416,0.0002595349,0.00004958055,0.000001439507,0.00006992704,0.00002920892,0.00002351446,0.0003371708,0.0008237974,0.9492953,0.04906552],"study_design_scores_gemma":[0.00001193325,0.00001014611,0.001461094,0.00002992976,0.00000182306,0.00003692766,0.00004765119,0.00007918961,0.000442126,0.0001995223,0.9976645,0.00001528738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001621465,0.0003278501,0.001084105,0.001649179,0.0006930374,0.0002828113,0.01373385,0.009499101,0.9711086],"genre_scores_gemma":[0.003748028,0.0001571453,0.0006220239,0.0004012386,0.0001431466,0.00007503709,0.003840361,0.001576675,0.9894363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8921506,"threshold_uncertainty_score":0.479284,"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."}}