{"id":"W1894088033","doi":"10.18438/b8q89f","title":"Measuring the Value of Library Resources and Student Academic Performance through Relational Datasets","year":2013,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Milestone; Coursework; Resource (disambiguation); Library classification; Value (mathematics); Cube (algebra); Point (geometry); Quality (philosophy); Knowledge management; Data science; World Wide Web; Engineering management; Mathematics education; Psychology; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009613278,0.0001144792,0.000110088,0.0001189559,0.0007811488,0.0007644973,0.000465466,0.00008890897,0.0005760709],"category_scores_gemma":[0.0008091184,0.00008232582,0.00002453713,0.0005777216,0.0003992755,0.7595937,0.0002203648,0.0003048284,0.00005956551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005744045,"about_ca_system_score_gemma":0.0002674595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003312669,"about_ca_topic_score_gemma":1.027865e-8,"domain_scores_codex":[0.9980452,0.0003823041,0.0005836538,0.0001238564,0.0006623961,0.0002025603],"domain_scores_gemma":[0.9970422,0.002050424,0.000531725,0.0002132498,0.00004742392,0.0001149655],"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":[0.00009465544,0.00002140374,0.03499538,0.0001215234,0.00001513461,2.692348e-7,0.02113782,0.0003428994,0.00001038252,0.9164997,0.01331402,0.01344684],"study_design_scores_gemma":[0.0001427913,0.00005195409,0.1535502,0.0002059207,0.00001065179,0.00000389885,0.007545163,0.002519274,0.000222924,0.0004066612,0.835228,0.0001125336],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5721588,0.002509055,0.0003612514,0.3665383,0.0002875114,0.001200668,0.00006255921,0.000204379,0.05667749],"genre_scores_gemma":[0.8163005,0.01717492,0.006929157,0.1585504,0.0002298497,0.0000643794,0.0001421866,0.000009770444,0.000598864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.916093,"threshold_uncertainty_score":0.7372065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292603957372368,"score_gpt":0.2935057642485825,"score_spread":0.2605797246748588,"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."}}