{"id":"W3097140745","doi":"10.5206/elip.v3i1.8624","title":"How Libraries Make us Believe","year":2020,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Obfuscation; Order (exchange); Computer science; Academic library; Sociology; Data science; Epistemology; Library science; Business; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005618499,0.000484765,0.0004579548,0.002334925,0.01265971,0.03342402,0.001456116,0.004512564,0.03094192],"category_scores_gemma":[0.01837291,0.00043729,0.0004269697,0.001944229,0.03353975,0.02424983,0.01273258,0.006180536,0.01427149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006463811,"about_ca_system_score_gemma":0.006403366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008015125,"about_ca_topic_score_gemma":0.006890088,"domain_scores_codex":[0.9916432,0.00454727,0.000192305,0.000809948,0.001704228,0.001102972],"domain_scores_gemma":[0.9916197,0.00336716,0.0005918673,0.001244997,0.001598893,0.001577384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004909777,0.00003810967,0.001575086,0.0001558723,0.00003499645,0.0003733158,0.1339277,0.0001970046,0.000307044,0.7505217,0.0793349,0.03348519],"study_design_scores_gemma":[0.0000145163,0.00001982875,0.0004842987,0.0002023897,0.0000194701,0.0001346551,0.06477611,0.0001296853,0.000299826,0.1790808,0.7548075,0.00003086111],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0286398,0.006337847,0.0105748,0.1457533,0.001636755,0.00003914544,0.0001243803,0.0004778192,0.8064162],"genre_scores_gemma":[0.8364024,0.003769263,0.002010598,0.02729557,0.001030337,0.00007018417,0.0001548838,0.0004898844,0.1287768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9873403,"threshold_uncertainty_score":0.1035111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911902543566403,"score_gpt":0.2480217668680297,"score_spread":0.2289027414323657,"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."}}