{"id":"W1635624305","doi":"10.69645/pgfy8396","title":"Vendor supplied MARC records for online collections","year":2015,"lang":"en","type":"article","venue":"˜The œbusiness & management collection.","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Vendor; World Wide Web; Computer science; Database; Business; Internet privacy; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005773347,0.0001757245,0.0001799888,0.0004614857,0.001007084,0.000918769,0.001134481,0.00004665277,0.00003399541],"category_scores_gemma":[0.00002237755,0.0001299678,0.0000753512,0.005265752,0.00005619923,0.002197271,0.0003139655,0.00007611579,0.00009513326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582445,"about_ca_system_score_gemma":0.0002184861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001187245,"about_ca_topic_score_gemma":0.0001185708,"domain_scores_codex":[0.9983911,0.00005548485,0.0004151722,0.0003399595,0.0004591874,0.0003390884],"domain_scores_gemma":[0.9986208,0.00007262165,0.0001857289,0.0006402011,0.0003711905,0.0001094633],"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":[0.00004425215,0.0001252312,0.000110998,0.00004407581,0.00005516945,0.000002137943,0.0006395139,0.002006692,0.00000607339,0.008996555,0.9734287,0.01454055],"study_design_scores_gemma":[0.001074409,0.00006958294,0.002559273,0.00001376968,0.00001061442,0.00002162642,0.0008248111,0.08053959,0.00002231043,0.003505854,0.9111546,0.0002035928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00135069,0.00005825681,0.9063852,0.008559041,0.005988231,0.002247751,0.0000227467,0.000529306,0.07485879],"genre_scores_gemma":[0.2220801,0.0001425753,0.08799513,0.007015631,0.001556235,0.00291761,0.0001820606,0.00006959022,0.6780411],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8183901,"threshold_uncertainty_score":0.885971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03425632129028148,"score_gpt":0.2431303909345844,"score_spread":0.2088740696443029,"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."}}