{"id":"W3124273292","doi":"10.5703/1288284317141","title":"Collections Data, Tools, and Strategy: Applying R, Tableau, and Excel to Print Assessment","year":2020,"lang":"en","type":"article","venue":"","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Collection development; Subject (documents); Computer science; Plan (archaeology); Component (thermodynamics); Data collection; Discipline; Data science; Space (punctuation); Data management; Work (physics); Visualization; Focus (optics); World Wide Web; Database; Data mining; Engineering; Sociology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1204052,0.002834148,0.00196433,0.01557537,0.002729692,0.01666249,0.00485019,0.001231808,0.02015896],"category_scores_gemma":[0.338935,0.002523041,0.002508526,0.02122878,0.004737988,0.01014137,0.007687221,0.005945233,0.01682371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003593476,"about_ca_system_score_gemma":0.01892474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01260276,"about_ca_topic_score_gemma":0.01145604,"domain_scores_codex":[0.8787758,0.08252876,0.01371991,0.005423517,0.01832466,0.001227465],"domain_scores_gemma":[0.6870593,0.191836,0.02027508,0.05544889,0.0421164,0.00326423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004974021,0.0003259465,0.009249314,0.003210666,0.0004824256,0.0008124936,0.009081215,0.005357591,0.002835111,0.1025796,0.2045589,0.6610093],"study_design_scores_gemma":[0.0002407003,0.0004114204,0.01512891,0.003510808,0.0002970483,0.0007324888,0.00667843,0.03563645,0.01310591,0.1325056,0.7911457,0.0006066186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005227037,0.0005173631,0.8761834,0.005562799,0.0005081971,0.004882341,0.01712548,0.0654228,0.02457058],"genre_scores_gemma":[0.01443294,0.0002941103,0.9672822,0.0004751753,0.00009173094,0.003986009,0.003766891,0.007574978,0.002095984],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1204052,"threshold_uncertainty_score":0.6367711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009927507991006,"score_gpt":0.2777873528648659,"score_spread":0.1767946020657654,"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."}}