{"id":"W1971255115","doi":"10.1108/03074800210428551","title":"Providing digital opportunities through public libraries: the Canadian example","year":2002,"lang":"en","type":"article","venue":"New Library World","topic":"Library Science and Administration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Work (physics); Laptop; The Internet; Digital divide; Internet access; Foundation (evidence); Public relations; Library science; Business; Political science; Public administration; World Wide Web; Engineering; Computer science; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0001183198,0.0001336799,0.0001064899,0.0001369749,0.00200175,0.005826588,0.0008453681,0.00006033451,0.01167632],"category_scores_gemma":[0.00006331705,0.0001018998,0.00006431539,0.001073419,0.0005194669,0.02995821,0.00007477184,0.0001709782,0.0002229349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003285296,"about_ca_system_score_gemma":0.00228339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04487414,"about_ca_topic_score_gemma":0.1608259,"domain_scores_codex":[0.9984446,0.00009623393,0.0002042872,0.0002567265,0.0004040797,0.0005940936],"domain_scores_gemma":[0.9988905,0.0001905318,0.00007484652,0.0002676398,0.00001146786,0.0005650307],"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":[9.331533e-7,0.00001041532,0.005305976,0.000001593537,0.000004480305,0.00001044447,0.01073642,3.579173e-7,4.037916e-7,0.5522738,0.4217773,0.009877838],"study_design_scores_gemma":[0.00006310735,0.00001844927,0.0003064529,0.000009572183,0.000002236063,0.000001238684,0.006232881,0.00002510217,0.00003480449,0.02636069,0.9667972,0.0001482596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003451469,0.0002997212,0.000006574537,0.2173147,0.0003225886,0.0002154172,0.0000176347,0.0002364556,0.7781354],"genre_scores_gemma":[0.6826011,0.00007369925,0.0002716723,0.007500955,0.0008440639,0.000008360809,0.00003718533,0.0000150209,0.3086479],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6791496,"threshold_uncertainty_score":0.9992975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2461852289020598,"score_gpt":0.2707030155667394,"score_spread":0.02451778666467958,"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."}}