{"id":"W4321763848","doi":"10.15353/acmla.n171.5291","title":"Academic Map Library Weeding","year":2023,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Context (archaeology); Point (geometry); Library science; Work (physics); Academic library; Usability; Referral; World Wide Web; Sociology; Public relations; Computer science; Political science; Geography; Engineering; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.01268389,0.0007960739,0.0008987242,0.01935372,0.01509655,0.009411722,0.003661354,0.001245868,0.1162457],"category_scores_gemma":[0.04584832,0.0005918344,0.0009243265,0.02797716,0.001928151,0.00610383,0.008637148,0.00218672,0.03987731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007041696,"about_ca_system_score_gemma":0.02410721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07418264,"about_ca_topic_score_gemma":0.1818969,"domain_scores_codex":[0.9889385,0.002277219,0.001007335,0.001035602,0.005661372,0.001080079],"domain_scores_gemma":[0.9634996,0.006493585,0.002367757,0.005271683,0.01960999,0.002757381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006935294,0.00009543727,0.003433711,0.001104475,0.00001555263,0.000467307,0.01580768,0.0003060491,0.001788995,0.02001058,0.3867475,0.5701534],"study_design_scores_gemma":[0.00001056733,0.00002145517,0.00394581,0.0003811361,0.00001253928,0.0001214423,0.00964056,0.0003439129,0.001212734,0.003090286,0.9811835,0.00003593922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04780365,0.005531081,0.09376156,0.02698923,0.007197648,0.00848356,0.01163832,0.01802627,0.7805687],"genre_scores_gemma":[0.1657781,0.009995674,0.2292548,0.005474258,0.001816936,0.004688078,0.01062544,0.005166743,0.5671999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1162457,"threshold_uncertainty_score":0.3888805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540611515291381,"score_gpt":0.2209054102571567,"score_spread":0.2054992951042429,"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."}}