{"id":"W2152339627","doi":"10.1111/j.1754-7121.2003.tb01579.x","title":"To click or not to click: E‐learning for the public sector","year":2003,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public sector; Computer science; Business; Political science","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":[],"category_scores_codex":[0.001849793,0.0001627598,0.0001449305,0.0002090671,0.001800989,0.001427896,0.0005799796,0.0001644648,0.002478889],"category_scores_gemma":[0.004062093,0.0001346839,0.00007294183,0.001086229,0.0000885767,0.0006396901,0.00001877437,0.0001558579,0.0001656368],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006208834,"about_ca_system_score_gemma":0.006228098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01150398,"about_ca_topic_score_gemma":0.9424164,"domain_scores_codex":[0.9977292,0.0002309359,0.0002769993,0.0003692207,0.0005182424,0.0008753575],"domain_scores_gemma":[0.9972901,0.0005017101,0.0001050288,0.0002834389,0.0002927465,0.001526929],"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":[0.00004756803,0.00002956614,0.007458382,0.00001137539,0.00003597508,0.000004058445,0.003294062,0.000002262556,0.00002735119,0.9259601,0.05451056,0.008618715],"study_design_scores_gemma":[0.000157393,0.0002186215,0.001638746,0.000004490837,0.000009396772,0.000002033518,0.0103641,0.00005662438,0.00004852378,0.0001003961,0.9871925,0.0002071662],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.232743,0.00004068925,0.001120669,0.7003786,0.001689228,0.002377544,0.00009066278,0.0001614777,0.06139807],"genre_scores_gemma":[0.9689794,0.000007818979,0.0003471693,0.01150229,0.0006631195,0.0002139702,0.00004322366,0.00002358341,0.01821945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9326819,"threshold_uncertainty_score":0.9996087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06945833645405854,"score_gpt":0.3300304447675443,"score_spread":0.2605721083134858,"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."}}