{"id":"W4240741669","doi":"10.1556/scient.67.2006.2.7","title":"Preface","year":2006,"lang":"en","type":"article","venue":"Scientometrics","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Bibliometrics; Interpretation (philosophy); Citation; Scientometrics; Citation analysis; Macro; Computer science; Data science; Epistemology; Sociology; Library science; Philosophy","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":[0.001565421,0.00086579,0.0006236979,0.004145858,0.002723934,0.003652036,0.001163845,0.0009013356,0.4611881],"category_scores_gemma":[0.01464508,0.0002706161,0.0005186536,0.002798966,0.0005484364,0.002312629,0.001978078,0.002433305,0.3087502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002475473,"about_ca_system_score_gemma":0.002602606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00708656,"about_ca_topic_score_gemma":0.008368637,"domain_scores_codex":[0.9991111,0.0001268915,0.00005569838,0.0001438466,0.0004927801,0.00006967831],"domain_scores_gemma":[0.9928598,0.001026739,0.000235356,0.0006628034,0.004373312,0.0008418632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001997028,0.00001344516,0.00008596213,0.00005995764,0.000001413,0.00002602962,0.00004851939,0.00004091029,0.00008872089,0.004104762,0.9629893,0.03252098],"study_design_scores_gemma":[0.000003598306,0.000006419043,0.0002485507,0.00007314244,0.000001474711,0.00002159758,0.00005722267,0.000025884,0.0000818147,0.002286909,0.9971898,0.000003552713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001562943,0.008898262,0.008277313,0.03928125,0.2269947,0.000680742,0.01992778,0.001913247,0.6924637],"genre_scores_gemma":[0.00500361,0.003246882,0.002381822,0.005250013,0.02129841,0.0002954796,0.008637436,0.0008050726,0.9530812],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9958541,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6899883062376743,"score_gpt":0.6221987966117799,"score_spread":0.06778950962589436,"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."}}