{"id":"W7064650795","doi":"","title":"The bias of libraries: Montréal's Grande Bibliothèque","year":2014,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformative learning; Emerging technologies; Reproduction; Scale (ratio); Democracy; Digital media; Dissemination; New media; Cultural bias","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006017923,0.0003066267,0.0004388454,0.001775606,0.02485371,0.0231468,0.001470032,0.003075319,0.01401775],"category_scores_gemma":[0.01545235,0.0003047408,0.0003213756,0.002719049,0.02208997,0.008566333,0.01068341,0.004333392,0.001453287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05086749,"about_ca_system_score_gemma":0.03481072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4500298,"about_ca_topic_score_gemma":0.5958859,"domain_scores_codex":[0.9932227,0.002794656,0.00009843998,0.00057763,0.002057727,0.001248893],"domain_scores_gemma":[0.9891239,0.004487615,0.0009126964,0.0007291752,0.002740734,0.002005816],"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":[0.0001172153,0.00005990449,0.007390261,0.0002086265,0.00001806827,0.001010255,0.2753545,0.0001335422,0.0005179491,0.44234,0.1937374,0.07911217],"study_design_scores_gemma":[0.00001188423,0.00002764826,0.004897779,0.0002165788,0.00000856299,0.0002110952,0.06344378,0.00008332618,0.0002564276,0.008015919,0.9227936,0.00003349443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1383208,0.01799058,0.001565217,0.3703739,0.002479249,0.0000538275,0.0001653472,0.0003555249,0.4686956],"genre_scores_gemma":[0.8343998,0.004246197,0.0004023828,0.03133082,0.001254464,0.00003543943,0.00005786555,0.0002436254,0.1280294],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5499701,"threshold_uncertainty_score":0.8948207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004122786861623979,"score_gpt":0.1437256784064577,"score_spread":0.1396028915448337,"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."}}