{"id":"W4403881380","doi":"10.1108/gkmc-12-2023-0493","title":"Citation classics on distance and online learning: a bibliometric analysis","year":2024,"lang":"en","type":"article","venue":"Global Knowledge Memory and Communication","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation analysis; Citation; Distance education; Computer science; Mathematics education; Information retrieval; Library science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01094072,0.0007102255,0.001867686,0.1578489,0.002037069,0.008186129,0.001145476,0.0008572878,0.005052282],"category_scores_gemma":[0.06271867,0.0003017641,0.001554369,0.2190692,0.00154513,0.005356229,0.003249021,0.0005557344,0.001015816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003707436,"about_ca_system_score_gemma":0.005261466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003231681,"about_ca_topic_score_gemma":0.002988568,"domain_scores_codex":[0.985683,0.002221911,0.001959788,0.0008870004,0.00879887,0.000449383],"domain_scores_gemma":[0.9458523,0.03167577,0.008441961,0.001896595,0.01109284,0.001040516],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004570698,0.0002606502,0.2448985,0.02258385,0.001537222,0.0009551583,0.008935079,0.003620035,0.001816336,0.02735456,0.02365741,0.6639241],"study_design_scores_gemma":[0.0001541361,0.0006837621,0.6277463,0.01033961,0.004071238,0.004882728,0.03161601,0.01941049,0.005059121,0.03901598,0.2566322,0.0003884406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8023609,0.08549725,0.01443049,0.003539906,0.000864411,0.001804111,0.0182557,0.0006257478,0.07262149],"genre_scores_gemma":[0.9344432,0.03253077,0.01978968,0.0001661091,0.0008669745,0.0008160924,0.007176557,0.0001118489,0.004098722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9890593,"threshold_uncertainty_score":0.05786073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353318034763869,"score_gpt":0.3711999182492833,"score_spread":0.3358681147728964,"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."}}