{"id":"W1493892631","doi":"10.1108/00242531111147189","title":"Advocacy and evidence for sustainable public computer access","year":2011,"lang":"en","type":"article","venue":"Library Review","topic":"Library Science and Administration","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Disadvantaged; Public relations; Government (linguistics); Information and Communications Technology; Empirical evidence; Business; Political science; Economic growth; Economics","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":[0.1135602,0.0008550651,0.001543557,0.008301709,0.004400829,0.02100653,0.003583648,0.007736709,0.01315633],"category_scores_gemma":[0.3272456,0.0006390705,0.001322799,0.00595149,0.02830961,0.0185411,0.01817649,0.009004854,0.0008053554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009440913,"about_ca_system_score_gemma":0.02657326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004637492,"about_ca_topic_score_gemma":0.004999681,"domain_scores_codex":[0.8649694,0.08908549,0.01027271,0.006377235,0.02570362,0.003591524],"domain_scores_gemma":[0.4899926,0.4468623,0.02083356,0.01530012,0.02360061,0.00341086],"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":[0.0002361894,0.0004231172,0.01586451,0.01907809,0.0004959223,0.000697589,0.02674243,0.001181101,0.0003325727,0.6625725,0.01886429,0.2535117],"study_design_scores_gemma":[0.0002516725,0.0005747346,0.01471976,0.1136108,0.0006536337,0.0006320948,0.08017915,0.001244363,0.001448288,0.370714,0.4158143,0.0001572645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0577697,0.1003234,0.02897414,0.4943113,0.004509163,0.001061037,0.0004821098,0.0001349193,0.3124343],"genre_scores_gemma":[0.8883331,0.03997272,0.01941093,0.04447807,0.001266492,0.001318306,0.0003176303,0.00007321652,0.004829334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1135602,"threshold_uncertainty_score":0.600571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2446526709416585,"score_gpt":0.392106598834707,"score_spread":0.1474539278930485,"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."}}