{"id":"W2964483853","doi":"10.29173/cais1038","title":"Making Invisible College Visible: Comparing ASIS&T and CAIS Annual Conferences as Two Scientific Communities","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social network analysis; Sociology; Library science; Computer science; Social science; Social capital","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003961723,0.000140619,0.0002319782,0.004837233,0.004684281,0.008087768,0.0007673235,0.0008122989,0.00670279],"category_scores_gemma":[0.0225675,0.0001683192,0.0001434662,0.004893728,0.003704205,0.005250928,0.004415497,0.001193079,0.0003233058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005521446,"about_ca_system_score_gemma":0.005527249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05242314,"about_ca_topic_score_gemma":0.1215303,"domain_scores_codex":[0.9962846,0.001638445,0.00008756799,0.0003926569,0.0008660414,0.0007306776],"domain_scores_gemma":[0.9731408,0.01259293,0.005629442,0.0007875251,0.002607857,0.005241363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005905855,0.0004757253,0.2982849,0.0004095144,0.00009701159,0.000571996,0.4782897,0.0008575048,0.002226242,0.06526014,0.009801391,0.1431353],"study_design_scores_gemma":[0.00003892517,0.0001355693,0.4162918,0.0002005426,0.00003919893,0.00009093769,0.5241017,0.001012526,0.0005105121,0.004628969,0.0529015,0.0000476997],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336418,0.0005264865,0.0008747842,0.002580355,0.00009184062,0.00005284073,0.0001099629,0.00002386793,0.06209809],"genre_scores_gemma":[0.9969855,0.0001907192,0.0002301118,0.0001206095,0.0000240875,0.00001945129,0.00007675695,0.000008710265,0.00234407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9951628,"threshold_uncertainty_score":0.104236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0677523060461019,"score_gpt":0.3399985159417711,"score_spread":0.2722462098956692,"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."}}