{"id":"W4242410460","doi":"10.15353/acmla.n164.1729","title":"News Related to the Association of Canadian Map Libraries and Archives","year":2020,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Association (psychology); Library science; History; Information retrieval; Geography; Political science; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003971198,0.000198935,0.0004123561,0.0009786503,0.001470082,0.0003698901,0.0003551957,0.0001642212,0.0001864748],"category_scores_gemma":[0.0009585593,0.0001867771,0.000105977,0.0009782441,0.0003535655,0.0003245384,0.0001169032,0.0002348198,0.00001988679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004511663,"about_ca_system_score_gemma":0.0007203605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2972403,"about_ca_topic_score_gemma":0.5437312,"domain_scores_codex":[0.9976634,0.0004128903,0.0006336643,0.0002555549,0.0004254612,0.0006089998],"domain_scores_gemma":[0.9972235,0.001180451,0.0006391613,0.0001555132,0.00005224147,0.0007491497],"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":[0.0000335133,0.000007278861,0.2904136,0.00009884532,0.0002638643,0.000001848173,0.2017527,0.00002150387,0.00001555894,0.371772,0.1331836,0.002435725],"study_design_scores_gemma":[0.0002732691,0.00005182486,0.09652999,0.00005312556,0.0000301154,2.204096e-7,0.02977468,0.00002619682,0.00001878879,0.004858595,0.8682016,0.0001816299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02134629,0.001097347,0.00002147131,0.7386956,0.000453975,0.000968864,0.0006293622,0.00007200746,0.2367151],"genre_scores_gemma":[0.9508303,0.002062919,0.002642539,0.008455595,0.0004463026,0.00006802642,0.0001427549,0.00004585976,0.03530564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9294841,"threshold_uncertainty_score":0.9998299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102779913190042,"score_gpt":0.1892573476960209,"score_spread":0.1789793563770167,"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."}}