{"id":"W2093573703","doi":"10.1002/meet.2011.14504801140","title":"Using information obtained through informetrics to address practical problems and to aid decision making","year":2011,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Informetrics; Diversity (politics); Psychology; Computer science; Sociology; Library science; Bibliometrics","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.04695835,0.001041638,0.001270818,0.01685795,0.004311768,0.02643422,0.002125464,0.004053062,0.02181411],"category_scores_gemma":[0.09623275,0.0005988083,0.0006420913,0.01650536,0.007611879,0.02571845,0.009292375,0.003426006,0.0062506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003070324,"about_ca_system_score_gemma":0.007608547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002225722,"about_ca_topic_score_gemma":0.004141712,"domain_scores_codex":[0.950009,0.03993648,0.002305717,0.001184711,0.005843807,0.0007202025],"domain_scores_gemma":[0.8580394,0.1121762,0.005615483,0.0116036,0.0108915,0.001673784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002959681,0.0002811806,0.01124053,0.002816026,0.0001869826,0.00119355,0.01699675,0.003499141,0.003179769,0.2177517,0.1045133,0.6380453],"study_design_scores_gemma":[0.00008713724,0.0001579776,0.004025022,0.005874893,0.0001652858,0.0006990841,0.03819638,0.007042168,0.004317392,0.2934214,0.6458191,0.0001940541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03528831,0.01142604,0.3293918,0.1832228,0.003338894,0.001067752,0.002278137,0.001893699,0.4320927],"genre_scores_gemma":[0.5640253,0.02944261,0.354484,0.01439943,0.00292562,0.0008712568,0.00197809,0.0009093074,0.03096436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9831421,"threshold_uncertainty_score":0.2483424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06624678402271192,"score_gpt":0.3320995710473884,"score_spread":0.2658527870246765,"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."}}