{"id":"W4238450187","doi":"10.15353/acmla.n160.307","title":"News related to the Association of Canadian Map Libraries and Archives","year":2018,"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":"University of Waterloo","funders":"","keywords":"Association (psychology); Library science; History; 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":[0.0005811243,0.0001998725,0.0003833193,0.001495864,0.002038105,0.000384113,0.000358351,0.0001812794,0.0002446993],"category_scores_gemma":[0.0007876346,0.0001842572,0.00009566756,0.0009384302,0.0006635736,0.0003416899,0.0001138582,0.0001963779,0.00002777554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005837933,"about_ca_system_score_gemma":0.0007496238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4083984,"about_ca_topic_score_gemma":0.7843983,"domain_scores_codex":[0.9975954,0.0004201788,0.0006282449,0.0002508525,0.0004249702,0.0006803655],"domain_scores_gemma":[0.997299,0.001182129,0.0006684553,0.0002091872,0.00008274672,0.00055854],"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":[0.00002927255,0.000008868603,0.2977016,0.00005672192,0.0002438953,0.000001018786,0.1474438,0.000003996171,0.00001342245,0.4236565,0.1278574,0.002983523],"study_design_scores_gemma":[0.0002415309,0.00006082648,0.1432974,0.00006692242,0.00002697941,3.316439e-7,0.02174795,0.0000124905,0.00002741023,0.009319293,0.8250251,0.0001738431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04967345,0.001042544,0.00002509477,0.4328871,0.001076438,0.001225875,0.0006710159,0.00008519091,0.5133132],"genre_scores_gemma":[0.9147379,0.001356923,0.002712886,0.003341425,0.000561816,0.00006159934,0.00009785721,0.00003962331,0.07708997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8650644,"threshold_uncertainty_score":0.9992611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008264695229240773,"score_gpt":0.1965823417796834,"score_spread":0.1883176465504426,"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."}}